Lawrence Carin

CoRR, 2018

Generative Adversarial Network Training is a Continual Learning Problem.

[BibT_eX]

[DOI]

CoRR, 2018

Sequence Generation with Guider Network.

[BibT_eX]

[DOI]

CoRR, 2018

Adversarial Text Generation via Feature-Mover's Distance.

[BibT_eX]

[DOI]

CoRR, 2018

Second-Order Adversarial Attack and Certifiable Robustness.

[BibT_eX]

[DOI]

CoRR, 2018

Accelerated First-order Methods on the Wasserstein Space for Bayesian Inference.

[BibT_eX]

[DOI]

CoRR, 2018

Diffusion Maps for Textual Network Embedding.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Distilled Wasserstein Learning for Word Embedding and Topic Modeling.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Adversarial Text Generation via Feature-Mover's Distance.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Multi-Label Learning from Medical Plain Text with Convolutional Residual Models.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning for Healthcare Conference, 2018

Predicting Smoking Events with a Time-Varying Semi-Parametric Hawkes Process Model.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning for Healthcare Conference, 2018

Anomaly detection for medical images based on a one-class classification.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Online Continuous-Time Tensor Factorization Based on Pairwise Interactive Point Processes.

[BibT_eX]

[DOI]

Hongteng Xu

Dixin Luo

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Policy Optimization as Wasserstein Gradient Flows.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Learning Registered Point Processes from Idiosyncratic Observations.

[BibT_eX]

[DOI]

Hongteng Xu

Hongyuan Zha

Proceedings of the 35th International Conference on Machine Learning, 2018

Chi-square Generative Adversarial Network.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Variational Inference and Model Selection with Generalized Evidence Bounds.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Continuous-Time Flows for Efficient Inference and Density Estimation.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Adversarial Time-to-Event Modeling.

[BibT_eX]

[DOI]

Benjamin Alan Goldstein

Ricardo Henao

Proceedings of the 35th International Conference on Machine Learning, 2018

Improved Semantic-Aware Network Embedding with Fine-Grained Word Alignment.

[BibT_eX]

[DOI]

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Learning Context-Aware Convolutional Filters for Text Processing.

[BibT_eX]

[DOI]

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Nonlocal Low-Rank Tensor Factor Analysis for Image Restoration.

[BibT_eX]

[DOI]

Xinyuan Zhang

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

The Duke Health Data Science Internship Program: Integrating the Educational Mission into Real-World Research.

[BibT_eX]

[DOI]

Shelley A. Rusincovitch

Proceedings of the AMIA 2018, 2018

Learning Structural Weight Uncertainty for Sequential Decision-Making.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Benefits from Superposed Hawkes Processes.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Topic Compositional Neural Language Model.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Symmetric Variational Autoencoder and Connections to Adversarial Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Joint Embedding of Words and Labels for Text Classification.

[BibT_eX]

[DOI]

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms.

[BibT_eX]

[DOI]

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing.

[BibT_eX]

[DOI]

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Zero-Shot Learning via Class-Conditioned Deep Generative Models.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Deconvolutional Latent-Variable Model for Text Sequence Matching.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Adaptive Feature Abstraction for Translating Video to Text.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Video Generation From Text.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Joint System and Algorithm Design for Computationally Efficient Fan Beam Coded Aperture X-Ray Coherent Scatter Imaging.

[BibT_eX]

[DOI]

Kalyani Krishnamurthy

Anuj J. Kapadia

David J. Brady

IEEE Trans. Computational Imaging, 2017

Information-Theoretic Compressive Measurement Design.

[BibT_eX]

[DOI]

David Wilcox

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Adaptive Convolutional Filter Generation for Natural Language Understanding.

[BibT_eX]

[DOI]

CoRR, 2017

Symmetric Variational Autoencoder and Connections to Adversarial Learning.

[BibT_eX]

[DOI]

CoRR, 2017

Towards Understanding Adversarial Learning for Joint Distribution Matching.

[BibT_eX]

[DOI]

CoRR, 2017

Compressive Sensing via Convolutional Factor Analysis.

[BibT_eX]

[DOI]

Yunchen Pu

CoRR, 2017

Stein Variational Autoencoder.

[BibT_eX]

[DOI]

CoRR, 2017

Deconvolutional Paragraph Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks.

[BibT_eX]

[DOI]

Qinliang Su

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Scalable Model Selection for Belief Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Adversarial Symmetric Variational Autoencoder.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

VAE Learning via Stein Variational Gradient Descent.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Targeting EEG/LFP Synchrony with Neural Nets.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Triangle Generative Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Cross-Spectral Factor Analysis.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

An inner-loop free solution to inverse problems using deep neural networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Evaluating U.S. Electoral Representation with a Joint Statistical Model of Congressional Roll-Calls, Legislative Text, and Voter Registration Data.

[BibT_eX]

[DOI]

Zhengming Xing

Sunshine Hillygus

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Adversarial Feature Matching for Text Generation.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

Stochastic Gradient Monomial Gamma Sampler.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

Deep Generative Models for Relational Data with Side Information.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

Adaptive Feature Abstraction for Translating Video to Language.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

Learning Generic Sentence Representations Using Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Semantic Compositional Networks for Visual Captioning.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Rationale and Design for the Duke Connected Care Predictive Modeling Pilot with a Medicare Shared Savings Program Population.

[BibT_eX]

[DOI]

Shelley A. Rusincovitch

Proceedings of the AMIA 2017, 2017

Guiding Principles for the Duke Connected Care Predictive Modeling Pilot.

[BibT_eX]

[DOI]

Eugenie Komives

Shelley A. Rusincovitch

Proceedings of the AMIA 2017, 2017

Learning Structured Weight Uncertainty in Bayesian Neural Networks.

[BibT_eX]

[DOI]

Shengyang Sun

Changyou Chen

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Tensor-Dictionary Learning with Deep Kruskal-Factor Analysis.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling.

[BibT_eX]

[DOI]

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Unsupervised Learning with Truncated Gaussian Graphical Models.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Classification and Reconstruction of High-Dimensional Signals From Low-Dimensional Features in the Presence of Side Information.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2016

Computational Snapshot Multispectral Cameras: Toward dynamic capture of the spectral world.

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2016

Stochastic Spectral Descent for Discrete Graphical Models.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2016

Electronic Health Record Analysis via Deep Poisson Factor Models.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2016

Earliness-Aware Deep Convolutional Networks for Early Time Series Classification.

[BibT_eX]

[DOI]

CoRR, 2016

Deep Overcomplete Tensor Rank-Decompositions.

[BibT_eX]

[DOI]

CoRR, 2016

Spectrally Grouped Total Variation Reconstruction for Scatter Imaging Using ADMM.

[BibT_eX]

[DOI]

CoRR, 2016

Unsupervised Learning of Sentence Representations using Convolutional Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2016

Laplacian Hamiltonian Monte Carlo.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Deep Metric Learning with Data Summarization.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Towards Unifying Hamiltonian Monte Carlo and Slice Sampling.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Linear Feature Encoding for Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Variational Autoencoder for Deep Learning of Images, Labels and Captions.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Stochastic Gradient MCMC with Stale Gradients.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Bayesian Dictionary Learning with Gaussian Processes and Sigmoid Belief Networks.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Nonlinear Statistical Learning with Truncated Gaussian Graphical Models.

[BibT_eX]

[DOI]

Proceedings of the 33nd International Conference on Machine Learning, 2016

Factored Temporal Sigmoid Belief Networks for Sequence Learning.

[BibT_eX]

[DOI]

Jiaming Song

Zhe Gan

Proceedings of the 33nd International Conference on Machine Learning, 2016

Dynamic Poisson Factor Analysis.

[BibT_eX]

[DOI]

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

A general framework for reconstruction and classification from compressive measurements with side information.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Learning Weight Uncertainty with Stochastic Gradient MCMC for Shape Classification.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Learning Sigmoid Belief Networks via Monte Carlo Expectation Maximization.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

A Deep Generative Deconvolutional Image Model.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Parallel Majorization Minimization with Dynamically Restricted Domains for Nonconvex Optimization.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Topic-Based Embeddings for Learning from Large Knowledge Graphs.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Non-negative Matrix Factorization for Discrete Data with Hierarchical Side-Information.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Variational Gaussian Copula Inference.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Bridging the Gap between Stochastic Gradient MCMC and Stochastic Optimization.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Solving DEC-POMDPs by Expectation Maximization of Value Function.

[BibT_eX]

[DOI]

Zhao Song

Proceedings of the 2016 AAAI Spring Symposia, 2016

Learning a Hybrid Architecture for Sequence Regression and Annotation.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

High-Order Stochastic Gradient Thermostats for Bayesian Learning of Deep Models.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Inference of gene networks associated with the host response to infectious disease.

[BibT_eX]

[DOI]

Proceedings of the Big Data over Networks, 2016

2015

Compressive Sensing by Learning a Gaussian Mixture Model From Measurements.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2015

Multivariate time-series analysis and diffusion maps.

[BibT_eX]

[DOI]

Signal Process., 2015

Signal Recovery and System Calibration from Multiple Compressive Poisson Measurements.

[BibT_eX]

[DOI]

Jiaji Huang

Kalyani Krishnamurthy

Joel A. Greenberg

Volkan Cevher

David J. Brady

SIAM J. Imaging Sci., 2015

Alternating Minimization Algorithm with Automatic Relevance Determination for Transmission Tomography under Poisson Noise.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2015

Negative Binomial Process Count and Mixture Modeling.

[BibT_eX]

[DOI]

Mingyuan Zhou

IEEE Trans. Pattern Anal. Mach. Intell., 2015

A Bayesian Nonparametric Approach to Image Super-Resolution.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Quantitative Arbor Analytics: Unsupervised Harmonic Co-Clustering of Populations of Brain Cell Arbors Based on L-Measure.

[BibT_eX]

[DOI]

Neuroinformatics, 2015

Compressive Hyperspectral Imaging With Side Information.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2015

A Generative Model for Deep Convolutional Learning.

[BibT_eX]

[DOI]

Yunchen Pu

Proceedings of the 3rd International Conference on Learning Representations, 2015

Zero-Truncated Poisson Tensor Factorization for Massive Binary Tensors.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Scalable Bayesian Non-negative Tensor Factorization for Massive Count Data.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

GP Kernels for Cross-Spectrum Analysis.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Large-Scale Bayesian Multi-Label Learning via Topic-Based Label Embeddings.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Deep Poisson Factor Modeling.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Deep Temporal Sigmoid Belief Networks for Sequence Modeling.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators.

[BibT_eX]

[DOI]

Changyou Chen

Nan Ding

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Preconditioned Spectral Descent for Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Alternating minimization algorithm with iteratively reweighted quadratic penalties for compressive transmission tomography.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2015: Image Processing, 2015

A concentration-of-measure inequality for multiple-measurement models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2015

Classification and reconstruction of compressed GMM signals with side information.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2015

Scalable Probabilistic Tensor Factorization for Binary and Count Data.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Stick-Breaking Policy Learning in Dec-POMDPs.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Non-Gaussian Discriminative Factor Models via the Max-Margin Rank-Likelihood.

[BibT_eX]

[DOI]

Proceedings of the 32nd International Conference on Machine Learning, 2015

A Multitask Point Process Predictive Model.

[BibT_eX]

[DOI]

Proceedings of the 32nd International Conference on Machine Learning, 2015

Scalable Deep Poisson Factor Analysis for Topic Modeling.

[BibT_eX]

[DOI]

Proceedings of the 32nd International Conference on Machine Learning, 2015

Learning Deep Sigmoid Belief Networks with Data Augmentation.

[BibT_eX]

[DOI]

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Stochastic Spectral Descent for Restricted Boltzmann Machines.

[BibT_eX]

[DOI]

David E. Carlson

Volkan Cevher

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Cross-Modal Similarity Learning via Pairs, Preferences, and Active Supervision.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Leveraging Features and Networks for Probabilistic Tensor Decomposition.

[BibT_eX]

[DOI]

Yingjian Wang

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Integrating Features and Similarities: Flexible Models for Heterogeneous Multiview Data.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Hierarchical Infinite Divisibility for Multiscale Shrinkage.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2014

Reconstruction of Signals Drawn From a Gaussian Mixture Via Noisy Compressive Measurements.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2014

A Bregman Matrix and the Gradient of Mutual Information for Vector Poisson and Gaussian Channels.

[BibT_eX]

[DOI]

David Edwin Carlson

IEEE Trans. Inf. Theory, 2014

Video Compressive Sensing Using Gaussian Mixture Models.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2014

Multichannel Electrophysiological Spike Sorting via Joint Dictionary Learning and Mixture Modeling.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2014

Compressive Coded Aperture Spectral Imaging: An Introduction.

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2014

Generalized Alternating Projection for Weighted-퓁<sub>2, 1</sub> Minimization with Applications to Model-Based Compressive Sensing.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2014

Tree-Structure Bayesian Compressive Sensing for Video.

[BibT_eX]

[DOI]

CoRR, 2014

Classification and Reconstruction of High-Dimensional Signals from Low-Dimensional Noisy Features in the Presence of Side Information.

[BibT_eX]

[DOI]

CoRR, 2014

Bayesian Deep Deconvolutional Learning.

[BibT_eX]

[DOI]

Yunchen Pu

CoRR, 2014

Bayesian joint analysis of heterogeneous genomics data.

[BibT_eX]

[DOI]

Bioinform., 2014

Compressive Sensing of Signals from a GMM with Sparse Precision Matrices.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Analysis of Brain States from Multi-Region LFP Time-Series.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Bayesian Nonlinear Support Vector Machines and Discriminative Factor Modeling.

[BibT_eX]

[DOI]

Ricardo Henao

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Dynamic Rank Factor Model for Text Streams.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

On the relations of LFPs & Neural Spike Trains.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Nonlinear Information-Theoretic Compressive Measurement Design.

[BibT_eX]

[DOI]

Abolfazl Razi

Proceedings of the 31th International Conference on Machine Learning, 2014

Scalable Bayesian Low-Rank Decomposition of Incomplete Multiway Tensors.

[BibT_eX]

[DOI]

Proceedings of the 31th International Conference on Machine Learning, 2014

Modeling Correlated Arrival Events with Latent Semi-Markov Processes.

[BibT_eX]

[DOI]

Proceedings of the 31th International Conference on Machine Learning, 2014

Multi-shot Imaging: Joint Alignment, Deblurring, and Resolution-Enhancement.

[BibT_eX]

[DOI]

Haichao Zhang

Julio Martin Duarte-Carvajalino

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Low-Cost Compressive Sensing for Color Video and Depth.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Latent Gaussian Models for Topic Modeling.

[BibT_eX]

[DOI]

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013

Task-Driven Adaptive Statistical Compressive Sensing of Gaussian Mixture Models.

[BibT_eX]

[DOI]

Guoshen Yu

Guillermo Sapiro

IEEE Trans. Signal Process., 2013

Coded Hyperspectral Imaging and Blind Compressive Sensing.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2013

Deep Learning with Hierarchical Convolutional Factor Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Analysis of space-time relational data with application to legislative voting.

[BibT_eX]

[DOI]

Esther Salazar

Comput. Stat. Data Anal., 2013

Coded aperture compressive temporal imaging

[BibT_eX]

[DOI]

CoRR, 2013

Reconstruction of Signals Drawn from a Gaussian Mixture from Noisy Compressive Measurements: MMSE Phase Transitions and Beyond.

[BibT_eX]

[DOI]

CoRR, 2013

Designed Measurements for Vector Count Data.

[BibT_eX]

[DOI]

David E. Carlson

David Wilcox

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Integrated Non-Factorized Variational Inference.

[BibT_eX]

[DOI]

Shaobo Han

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Real-Time Inference for a Gamma Process Model of Neural Spiking.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Generalized Bregman divergence and gradient of mutual information for vector Poisson channels.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

Quantitative profiling of microglia populations using harmonic co-clustering of arbor morphology measurements.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Online Expectation Maximization for Reinforcement Learning in POMDPs.

[BibT_eX]

[DOI]

Miao Liu

Proceedings of the IJCAI 2013, 2013

Exploring the Mind: Integrating Questionnaires and fMRI.

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Machine Learning, 2013

Adaptive temporal compressive sensing for video.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2013

Gaussian mixture model for video compressive sensing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2013

Compressive sensing for incoherent imaging systems with optical constraints.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2013

Reconstruction of Gaussian mixture models from compressive measurements: A phase transition view.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Test-size Reduction for Concept Estimation.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Educational Data Mining, 2013

Patient Clustering with Uncoded Text in Electronic Medical Records.

[BibT_eX]

[DOI]

Proceedings of the AMIA 2013, 2013

2012

Nonparametric Bayesian Dictionary Learning for Analysis of Noisy and Incomplete Images.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2012

High Dimensional Longitudinal Genomic Data: An analysis used for monitoring viral infections.

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2012

Dictionary Learning for Noisy and Incomplete Hyperspectral Images.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2012

Communications-Inspired Projection Design with Application to Compressive Sensing.

[BibT_eX]

[DOI]

William R. Carson

SIAM J. Imaging Sci., 2012

Beta-Negative Binomial Process and Poisson Factor Analysis.

[BibT_eX]

[DOI]

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Nested Dictionary Learning for Hierarchical Organization of Imagery and Text.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Active learning for large-scale factor analysis.

[BibT_eX]

[DOI]

Jorge G. Silva

Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Augment-and-Conquer Negative Binomial Processes.

[BibT_eX]

[DOI]

Mingyuan Zhou

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Joint Modeling of a Matrix with Associated Text via Latent Binary Features.

[BibT_eX]

[DOI]

XianXing Zhang

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Active learning for online bayesian matrix factorization.

[BibT_eX]

[DOI]

Jorge G. Silva

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

The contextual focused topic model.

[BibT_eX]

[DOI]

Xu Chen

Mingyuan Zhou

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Lognormal and Gamma Mixed Negative Binomial Regression.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Machine Learning, 2012

Levy Measure Decompositions for the Beta and Gamma Processes.

[BibT_eX]

[DOI]

Yingjian Wang

Proceedings of the 29th International Conference on Machine Learning, 2012

Inferring Latent Structure From Mixed Real and Categorical Relational Data.

[BibT_eX]

[DOI]

Esther Salazar

Proceedings of the 29th International Conference on Machine Learning, 2012

Cross-Domain Multitask Learning with Latent Probit Models.

[BibT_eX]

[DOI]

Shaobo Han

Proceedings of the 29th International Conference on Machine Learning, 2012

Communications Inspired Linear Discriminant Analysis.

[BibT_eX]

[DOI]

William R. Carson

Julio Martin Duarte-Carvajalino

Proceedings of the 29th International Conference on Machine Learning, 2012

Hierarchical factor modeling of proteomics data.

[BibT_eX]

[DOI]

Proceedings of the IEEE 2nd International Conference on Computational Advances in Bio and Medical Sciences, 2012

Online Bayesian dictionary learning for large datasets.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Adapted statistical compressive sensing: Learning to sense gaussian mixture models.

[BibT_eX]

[DOI]

Guoshen Yu

Guillermo Sapiro

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

How to focus the discriminative power of a dictionary.

[BibT_eX]

[DOI]

William R. Carson

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011

Corrections to "Compressive Sensing on Manifolds Using a Nonparametric Mixture of Factor Analyzers: Algorithm and Performance Bounds".

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2011

Bayesian Robust Principal Component Analysis.

[BibT_eX]

[DOI]

Xinghao Ding

Julio Martin Duarte-Carvajalino

IEEE Trans. Image Process., 2011

Learning Discriminative Sparse Representations for Modeling, Source Separation, and Mapping of Hyperspectral Imagery.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2011

Detection of Viruses Via Statistical Gene Expression Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2011

Learning Low-Dimensional Signal Models.

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2011

Dependent Hierarchical Beta Process for Image Interpolation and Denoising.

[BibT_eX]

[DOI]

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Logistic Stick-Breaking Process.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2011

Online Adaptive Statistical Compressed Sensing of Gaussian Mixture Models

[BibT_eX]

[DOI]

Guillermo Sapiro

Guoshen Yu

CoRR, 2011

Blind Compressed Sensing Over a Structured Union of Subspaces

[BibT_eX]

[DOI]

CoRR, 2011

Hierarchical Topic Modeling for Analysis of Time-Evolving Personal Choices.

[BibT_eX]

[DOI]

XianXing Zhang

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

The Kernel Beta Process.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

On the Analysis of Multi-Channel Neural Spike Data.

[BibT_eX]

[DOI]

Bo Chen

David E. Carlson

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Tree-Structured Infinite Sparse Factor Model.

[BibT_eX]

[DOI]

XianXing Zhang

Proceedings of the 28th International Conference on Machine Learning, 2011

Variational Inference for Stick-Breaking Beta Process Priors.

[BibT_eX]

[DOI]

David M. Blei

Proceedings of the 28th International Conference on Machine Learning, 2011

The Infinite Regionalized Policy Representation.

[BibT_eX]

[DOI]

Miao Liu

Proceedings of the 28th International Conference on Machine Learning, 2011

On the Integration of Topic Modeling and Dictionary Learning.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Machine Learning, 2011

The Hierarchical Beta Process for Convolutional Factor Analysis and Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Machine Learning, 2011

Topic Modeling with Nonparametric Markov Tree.

[BibT_eX]

[DOI]

Haojun Chen

Proceedings of the 28th International Conference on Machine Learning, 2011

Covariate-dependent dictionary learning and sparse coding.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2011

Time-evolving modeling of social networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2011

Joint dictionary learning and topic modeling for image clustering.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2011

Nonparametric Bayesian feature selection for multi-task learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2011

Bayesian topic models for describing computer network behaviors.

[BibT_eX]

[DOI]

Christopher Cramer

Proceedings of the IEEE International Conference on Acoustics, 2011

Non-parametric Bayesian modeling and fusion of spatio-temporal information sources.

[BibT_eX]

[DOI]

Priyadip Ray

Proceedings of the 14th International Conference on Information Fusion, 2011

2010

Active learning and basis selection for kernel-based linear models: a Bayesian perspective.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2010

Sticky hidden Markov modeling of comparative genomic hybridization.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2010

Compressive Sensing on Manifolds Using a Nonparametric Mixture of Factor Analyzers: Algorithm and Performance Bounds.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2010

Sparse Signal Recovery and Acquisition with Graphical Models.

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2010

Probabilistic Topic Models.

[BibT_eX]

[DOI]

David M. Blei

IEEE Signal Process. Mag., 2010

Tree-Structured Compressive Sensing With Variational Bayesian Analysis.

[BibT_eX]

[DOI]

Haojun Chen

IEEE Signal Process. Lett., 2010

Hierarchical Bayesian Modeling of Topics in Time-Stamped Documents.

[BibT_eX]

[DOI]

Iulian Pruteanu-Malinici

IEEE Trans. Pattern Anal. Mach. Intell., 2010

Classification with Incomplete Data Using Dirichlet Process Priors.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2010

Bayesian Inference of the Number of Factors in Gene-Expression Analysis: Application to Human Virus Challenge Studies.

[BibT_eX]

[DOI]

BMC Bioinform., 2010

Joint Analysis of Time-Evolving Binary Matrices and Associated Documents.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

A Stick-Breaking Construction of the Beta Process.

[BibT_eX]

[DOI]

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Nonparametric image interpolation and dictionary learning using spatially-dependent Dirichlet and beta process priors.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Image Processing, 2010

Discriminative sparse representations in hyperspectral imagery.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Image Processing, 2010

A nonparametric Bayesian model for kernel matrix completion.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2010

Sparse linear regression with beta process priors.

[BibT_eX]

[DOI]

Bo Chen

Proceedings of the IEEE International Conference on Acoustics, 2010

Invited Talk Abstracts.

[BibT_eX]

[DOI]

Proceedings of the Manifold Learning and Its Applications, 2010

2009

Hidden Markov models with stick-breaking priors.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2009

Multitask Compressive Sensing.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2009

Exploiting structure in wavelet-based Bayesian compressive sensing.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2009

Kernel-Matching Pursuits With Arbitrary Loss Functions.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2009

Migratory Logistic Regression for Learning Concept Drift Between Two Data Sets With Application to UXO Sensing.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2009

Semisupervised Multitask Learning.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2009

Semisupervised Learning of Hidden Markov Models via a Homotopy Method.

[BibT_eX]

[DOI]

Layne T. Watson

IEEE Trans. Pattern Anal. Mach. Intell., 2009

Multi-task Reinforcement Learning in Partially Observable Stochastic Environments.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2009

Compressive sensing for multi-static scattering analysis.

[BibT_eX]

[DOI]

J. Comput. Phys., 2009

Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Learning to Explore and Exploit in POMDPs.

[BibT_eX]

[DOI]

Chenghui Cai

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Nonparametric factor analysis with beta process priors.

[BibT_eX]

[DOI]

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Multi-task classification with infinite local experts.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2009

Music analysis with a Bayesian dynamic model.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2009

Dirichlet process mixture models with multiple modalities.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2009

Active learning for semi-supervised multi-task learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2009

2008

Multi-Task Learning for Analyzing and Sorting Large Databases of Sequential Data.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2008

Bayesian Compressive Sensing.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2008

Infinite Hidden Markov Models for Unusual-Event Detection in Video.

[BibT_eX]

[DOI]

Iulian Pruteanu-Malinici

IEEE Trans. Image Process., 2008

Detection of Unexploded Ordnance via Efficient Semisupervised and Active Learning.

[BibT_eX]

[DOI]

Qiuhua Liu

IEEE Trans. Geosci. Remote. Sens., 2008

An Investigation of Using the Spectral Characteristics From Ground Penetrating Radar for Landmine/Clutter Discrimination.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2008

Multitask Classification by Learning the Task Relevance.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2008

Cybersecurity Strategies: The QuERIES Methodology.

[BibT_eX]

[DOI]

George Cybenko

Jeff Hughes

Computer, 2008

The ATR Center and ATRpedia.

[BibT_eX]

[DOI]

Proceedings of the Visual Information Processing XVII, 2008

The dynamic hierarchical Dirichlet process.

[BibT_eX]

[DOI]

Lu Ren

Proceedings of the Machine Learning, 2008

Multi-task compressive sensing with Dirichlet process priors.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2008

Hierarchical kernel stick-breaking process for multi-task image analysis.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2008

2007

Music Analysis Using Hidden Markov Mixture Models.

[BibT_eX]

[DOI]

Yuting Qi

John William Paisley

IEEE Trans. Signal Process., 2007

Nonmyopic Multiaspect Sensing With Partially Observable Markov Decision Processes.

[BibT_eX]

[DOI]

Ronald Parr

IEEE Trans. Signal Process., 2007

Three-Dimensional Bayesian Inversion With Application to Subsurface Sensing.

[BibT_eX]

[DOI]

Yijun Yu

IEEE Trans. Geosci. Remote. Sens., 2007

Classification of Unexploded Ordnance Using Incomplete Multisensor Multiresolution Data.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2007

Electromagnetic Target Detection in Uncertain Media: Time-Reversal and Minimum-Variance Algorithms.

[BibT_eX]

[DOI]

Dehong Liu

Jeffrey L. Krolik

IEEE Trans. Geosci. Remote. Sens., 2007

Adaptive Multimodality Sensing of Landmines.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2007

Cost-sensitive feature acquisition and classification.

[BibT_eX]

[DOI]

Pattern Recognit., 2007

On Classification with Incomplete Data.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2007

A Bivariate Gaussian Model for Unexploded Ordnance Classification with EMI Data.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2007

Multi-Task Learning for Classification with Dirichlet Process Priors.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2007

Volumetric fast multipole method for modeling Schrödinger's equation.

[BibT_eX]

[DOI]

J. Comput. Phys., 2007

Semi-Supervised Multitask Learning.

[BibT_eX]

[DOI]

Qiuhua Liu

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

The matrix stick-breaking process for flexible multi-task learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2007

Multi-task learning for sequential data via iHMMs and the nested Dirichlet process.

[BibT_eX]

[DOI]

Kai Ni

Proceedings of the Machine Learning, 2007

Quadratically gated mixture of experts for incomplete data classification.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2007

Bayesian compressive sensing and projection optimization.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2007

Infinite Hidden Markov Models and ISA Features for Unusual-Event Detection in Video.

[BibT_eX]

[DOI]

Iulian Pruteanu-Malinici

Proceedings of the International Conference on Image Processing, 2007

Dirichlet Process HMM Mixture Models with Application to Music Analysis.

[BibT_eX]

[DOI]

Yuting Qi

John William Paisley

Proceedings of the IEEE International Conference on Acoustics, 2007

Multi-Aspect Target Classification and Detection via the Infinite Hidden Markov Model.

[BibT_eX]

[DOI]

Kai Ni

Yuting Qi

Proceedings of the IEEE International Conference on Acoustics, 2007

Learning Classifiers on a Partially Labeled Data Manifold.

[BibT_eX]

[DOI]

Qiuhua Liu

Proceedings of the IEEE International Conference on Acoustics, 2007

Wideband Array Imaging of a Target Situated in an Unknown Random Media.

[BibT_eX]

[DOI]

Dehong Liu

Proceedings of the IEEE International Conference on Acoustics, 2007

Point-Based Policy Iteration.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006

Texture analysis with variational hidden Markov trees.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2006

A modified SPIHT algorithm for image coding with a joint MSE and classification distortion measure.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2006

Rapid Prolate Pseudospectral Differentiation and Interpolation with the Fast Multipole Method.

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., 2006

Variational Bayes for Continuous Hidden Markov Models and Its Application to Active Learning.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2006

Pseudospectral method based on prolate spheroidal wave functions for semiconductor nanodevice simulation.

[BibT_eX]

[DOI]

Wenbin Lin

Narayan Kovvali

Comput. Phys. Commun., 2006

Region-based value iteration for partially observable Markov decision processes.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2006

A Reward-Directed Bayesian Classifier.

[BibT_eX]

[DOI]

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Homotopy-Based Semi-Supervised Hidden Markov Tree for Texture Analysis.

[BibT_eX]

[DOI]

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Incremental Least Squares Policy Iteration for POMDPs.

[BibT_eX]

[DOI]

Proceedings of the Proceedings, 2006

2005

Sparse Multinomial Logistic Regression: Fast Algorithms and Generalization Bounds.

[BibT_eX]

[DOI]

Mário A. T. Figueiredo

IEEE Trans. Pattern Anal. Mach. Intell., 2005

Direct algorithm for computation of derivatives of the Daubechies basis functions.

[BibT_eX]

[DOI]

Wenbin Lin

Narayan Kovvali

Appl. Math. Comput., 2005

Radial Basis Function Network for Multi-task Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Incomplete-data classification using logistic regression.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2005

Logistic regression with an auxiliary data source.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2005

A Bayesian Approach to Unsupervised Feature Selection and Density Estimation Using Expectation Propagation.

[BibT_eX]

[DOI]

Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004

Application of the biorthogonal multiresolution time-domain method to the analysis of elastic-wave interactions with buried targets.

[BibT_eX]

[DOI]

Xianyang Zhu

IEEE Trans. Geosci. Remote. Sens., 2004

Detection of buried targets via active selection of labeled data: application to sensing subsurface UXO.

[BibT_eX]

[DOI]

Yan Zhang

IEEE Trans. Geosci. Remote. Sens., 2004

Three-dimensional inverse scattering of a dielectric target embedded in a lossy half-space.

[BibT_eX]

[DOI]

Yijun Yu

Tiejun Yu

IEEE Trans. Geosci. Remote. Sens., 2004

Application of the Theory of Optimal Experiments to Adaptive Electromagnetic-Induction Sensing of Buried Targets.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2004

A Bayesian Approach to Joint Feature Selection and Classifier Design.

[BibT_eX]

[DOI]

Mário A. T. Figueiredo

IEEE Trans. Pattern Anal. Mach. Intell., 2004

Joint Classifier and Feature Optimization for Comprehensive Cancer Diagnosis Using Gene Expression Data.

[BibT_eX]

[DOI]

J. Comput. Biol., 2004

On Semi-Supervised Classification.

[BibT_eX]

[DOI]

David Williams

Mário A. T. Figueiredo

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Active selection of labeled data for target detection.

[BibT_eX]

[DOI]

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Airport detection in large aerial optical imagery.

[BibT_eX]

[DOI]

Dehong Liu

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Adaptive multi-aspect target classification and detection with hidden Markov models.

[BibT_eX]

[DOI]

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Time-reversal imaging and classification for distant targets in a shallow water channel.

[BibT_eX]

[DOI]

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Kernel matching pursuits prioritization of wavelet coefficients for SPIHT image coding.

[BibT_eX]

[DOI]

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2003

Quantization of multiaspect scattering data: target classification and pose estimation.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2003

Sensing of unexploded ordnance with magnetometer and induction data: theory and signal processing.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2003

Scalable multilevel fast multipole method for multiple targets in the vicinity of a half space.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2003

Rate-Distortion Analysis of Discrete-HMM Pose Estimation via Multiaspect Scattering Data.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2003

Unexploded ordnance detection using Bayesian physics-based data fusion.

[BibT_eX]

[DOI]

Yan Zhang

Leslie M. Collins

Integr. Comput. Aided Eng., 2003

Joint classifier and feature optimization for cancer diagnosis using gene expression data.

[BibT_eX]

[DOI]

Proceedings of the Sventh Annual International Conference on Computational Biology, 2003

Time-reversal imaging for wideband underwater target classification.

[BibT_eX]

[DOI]

Hongwei Liu

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

ICA with multiple quadratic constraints.

[BibT_eX]

[DOI]

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Context-based graphical modeling for wavelet domain signal processing.

[BibT_eX]

[DOI]

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Rate-Distortion Bound for Joint Compression and Classification.

[BibT_eX]

[DOI]

Proceedings of the 2003 Data Compression Conference (DCC 2003), 2003

2002

Sequential modeling for identifying CpG island locations in human genome.

[BibT_eX]

[DOI]

Simon M. Lin

IEEE Signal Process. Lett., 2002

Infrared-Image Classification Using Hidden Markov Trees.

[BibT_eX]

[DOI]

Priya Bharadwaj

IEEE Trans. Pattern Anal. Mach. Intell., 2002

Support Vector Machines for Improved Multiaspect Target Recognition Using the Fisher Scores of Hidden Markov Models.

[BibT_eX]

Proceedings of the 6th Joint Conference on Information Science, 2002

Model-based statistical sensor fusion for unexploded ordnance detection.

[BibT_eX]

[DOI]

Leslie M. Collins

Yizhe Zhang

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2002

HMM-based multiresolution image segmentation.

[BibT_eX]

[DOI]

Jiuliu Lu

Proceedings of the IEEE International Conference on Acoustics, 2002

Class-based target classification in shallow water channel based on Hidden Markov Model.

[BibT_eX]

[DOI]

Hongwei Liu

Proceedings of the IEEE International Conference on Acoustics, 2002

ICA and PLS modeling for functional analysis and drug sensitivity for DNA microarray signals.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2002

Support Vector Machines for improved multiaspect target recognition using the fisher kernel scores of Hidden Markov Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2002

Infrared-image classification using support vector machines.

[BibT_eX]

[DOI]

Nasser M. Nasrabadi

Proceedings of the IEEE International Conference on Acoustics, 2002

2001

Multi-aspect target detection for SAR imagery using hidden Markov models.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2001

Rigorous modeling of ultrawideband VHF scattering from tree trunks over flat and. sloped terrain.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2001

Multi-aspect detection of surface and shallow-buried unexploded ordnance via ultra-wideband synthetic aperture radar.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2001

Time-domain sensing of targets buried under a Gaussian, exponential, or fractal rough interface.

[BibT_eX]

[DOI]

Traian Dogaru

IEEE Trans. Geosci. Remote. Sens., 2001

On the wideband EMI response of a rotationally symmetric permeable and conducting target.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2001

Foreword.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2001

A comparison of the performance of statistical and fuzzy algorithms for unexploded ordnance detection.

[BibT_eX]

[DOI]

Susan L. Rose-Pehrsson

Herbert H. Nelson

James R. McDonald

IEEE Trans. Fuzzy Syst., 2001

Dual hidden Markov model for characterizing wavelet coefficients from multi-aspect scattering data.

[BibT_eX]

[DOI]

Signal Process., 2001

Genetic Algorithm Wavelet Design for Signal Classification.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2001

Identification of ground targets from sequential HRR radar signatures.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2001

Markov modeling of transient scattering and its application in multi-aspect target classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2001

Class-based identification of underwater targets using hidden Markov models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2001

Infrared-image classification using expansion matching filters and hidden Markov trees.

[BibT_eX]

[DOI]

Priya Bharadwaj

Proceedings of the IEEE International Conference on Acoustics, 2001

2000

Analysis of the electromagnetic inductive response of a void in a conducting-soil background.

[BibT_eX]

[DOI]

Tiejun Yu

IEEE Trans. Geosci. Remote. Sens., 2000

Multilevel fast-multipole algorithm for scattering from conducting targets above or embedded in a lossy half space.

[BibT_eX]

[DOI]

Anders Sullivan

IEEE Trans. Geosci. Remote. Sens., 2000

Classification of landmine-like metal targets using wideband electromagnetic induction.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2000

1999

Hidden Markov models for multiaspect target classification.

[BibT_eX]

[DOI]

Luise Couchman

IEEE Trans. Signal Process., 1999

Wide-band VHF scattering from a trihedral reflector situated above a lossy dispersive halfspace.

[BibT_eX]

[DOI]

Marc A. Ressler

IEEE Trans. Geosci. Remote. Sens., 1999

Short-pulse electromagnetic scattering from arbitrarily oriented subsurface ordnance.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 1999

On the low-frequency natural response of conducting and permeable targets.

[BibT_eX]

[DOI]

Carl E. Baum

IEEE Trans. Geosci. Remote. Sens., 1999

An improved Bayesian decision theoretic approach for land mine detection.

[BibT_eX]

[DOI]

Leslie M. Collins

Ping Gao

IEEE Trans. Geosci. Remote. Sens., 1999

Multiaspect Target Identification with Wave-Based Matched Pursuits and Continuous Hidden Markov Models.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 1999

Multi-aspect target identification with wave-based matching pursuits and continuous hidden Markov models.

[BibT_eX]

[DOI]

Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

Classification of landmine-like metal targets using wideband electromagnetic induction.

[BibT_eX]

[DOI]

Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

Physics-based classification of targets in SAR imagery using subaperture sequences.

[BibT_eX]

[DOI]

Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

1998

Polarimetric SAR imaging of buried landmines.

[BibT_eX]

[DOI]

Ravinder Kapoor

Carl E. Baum

IEEE Trans. Geosci. Remote. Sens., 1998

1997

Matching pursuits with a wave-based dictionary.

[BibT_eX]

[DOI]

Mark R. McClure

IEEE Trans. Signal Process., 1997

Ultra-wideband, short-pulse ground-penetrating radar: simulation and measurement.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 1997

Random Neural Network Recognition of Shaped Objects in Strong Clutter.

[BibT_eX]

[DOI]

Hakan Bakircioglu

Erol Gelenbe