Heng Huang

According to our database1, Heng Huang authored at least 337 papers between 2000 and 2019.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Homepage:

On csauthors.net:

Bibliography

2019
Harmonic Mean Linear Discriminant Analysis.
IEEE Trans. Knowl. Data Eng., 2019

Stacked Robust Adaptively Regularized Auto-Regressions for Domain Adaptation.
IEEE Trans. Knowl. Data Eng., 2019

Deep Learning Models Unveiled Functional Difference Between Cortical Gyri and Sulci.
IEEE Trans. Biomed. Engineering, 2019

Nesting-structured nuclear norm minimization for spatially correlated matrix variate.
Pattern Recognition, 2019

Discovering hierarchical common brain networks via multimodal deep belief network.
Medical Image Analysis, 2019

Fast and scalable distributed deep convolutional autoencoder for fMRI big data analytics.
Neurocomputing, 2019

Ouroboros: On Accelerating Training of Transformer-Based Language Models.
CoRR, 2019

Approaching Machine Learning Fairness through Adversarial Network.
CoRR, 2019

Diversely Stale Parameters for Efficient Training of CNNs.
CoRR, 2019

Nonconvex Zeroth-Order Stochastic ADMM Methods with Lower Function Query Complexity.
CoRR, 2019

Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization.
CoRR, 2019

Scalable Semi-Supervised SVM via Triply Stochastic Gradients.
CoRR, 2019

An Iteratively Re-weighted Method for Problems with Sparsity-Inducing Norms.
CoRR, 2019

Robust Linear Discriminant Analysis Using Ratio Minimization of L1, 2-Norms.
CoRR, 2019

Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization.
CoRR, 2019

LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking.
CoRR, 2019

Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering.
CoRR, 2019

Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization.
CoRR, 2019

Quality-Sensitive Training! Social Advertisement Generation by Leveraging User Click Behavior.
Proceedings of the World Wide Web Conference, 2019

Domain-aware Neural Model for Sequence Labeling using Joint Learning.
Proceedings of the World Wide Web Conference, 2019

Tackle Balancing Constraint for Incremental Semi-Supervised Support Vector Learning.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

ProGAN: Network Embedding via Proximity Generative Adversarial Network.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Conditional Random Field Enhanced Graph Convolutional Neural Networks.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Multi-Horizon Time Series Forecasting with Temporal Attention Learning.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Explore the Hierarchical Auditory Information Processing Via Deep Convolutional Autoencoder.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Identifying Configurational Abnormalities in Alzheimer'S Disease Progression Using Multi-View Structure Connectome.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Exploring Intrinsic Functional Differences of Gyri, Sulci and 2-Hinge, 3-Hinge Joints on Cerebral Cortex.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Mask-Driven Mitosis Detection In Histopathology Images.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

New Graph-Blind Convolutional Network for Brain Connectome Data Analysis.
Proceedings of the Information Processing in Medical Imaging, 2019

Simultaneous Spatial-Temporal Decomposition of Connectome-Scale Brain Networks by Deep Sparse Recurrent Auto-Encoders.
Proceedings of the Information Processing in Medical Imaging, 2019

Binarized Neural Networks for Resource-Efficient Hashing with Minimizing Quantization Loss.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Asynchronous Stochastic Frank-Wolfe Algorithms for Non-Convex Optimization.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Scalable Semi-Supervised SVM via Triply Stochastic Gradients.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization.
Proceedings of the 36th International Conference on Machine Learning, 2019

Demystifying Dropout.
Proceedings of the 36th International Conference on Machine Learning, 2019

Large-Scale Machine Learning Algorithms for Biomedical Data Science.
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

Robust Metric Learning on Grassmann Manifolds with Generalization Guarantees.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Orthogonality-Promoting Dictionary Learning via Bayesian Inference.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Scalable and Efficient Pairwise Learning to Achieve Statistical Accuracy.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Nonparametric Bayesian Correlated Group Regression With Applications to Image Classification.
IEEE Trans. Neural Netw. Learning Syst., 2018

Multi-Pass Fast Watershed for Accurate Segmentation of Overlapping Cervical Cells.
IEEE Trans. Med. Imaging, 2018

Modeling Task fMRI Data Via Deep Convolutional Autoencoder.
IEEE Trans. Med. Imaging, 2018

Heavy-Tailed Noise Suppression and Derivative Wavelet Scalogram for Detecting DNA Copy Number Aberrations.
IEEE/ACM Trans. Comput. Biology Bioinform., 2018

Decoding Auditory Saliency from Brain Activity Patterns during Free Listening to Naturalistic Audio Excerpts.
Neuroinformatics, 2018

Cognitive Assessment Prediction in Alzheimer's Disease by Multi-Layer Multi-Target Regression.
Neuroinformatics, 2018

Longitudinal Genotype-Phenotype Association Study through Temporal Structure Auto-Learning Predictive Model.
Journal of Computational Biology, 2018

3D Global Convolutional Adversarial Network\\ for Prostate MR Volume Segmentation.
CoRR, 2018

Training Neural Networks Using Features Replay.
CoRR, 2018

Decoupled Parallel Backpropagation with Convergence Guarantee.
CoRR, 2018

Conditional generative adversarial network for gene expression inference.
Bioinformatics, 2018

Quantitative trait loci identification for brain endophenotypes via new additive model with random networks.
Bioinformatics, 2018

Joint Generative-Discriminative Aggregation Model for Multi-Option Crowd Labels.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

An End-to-end Model of Predicting Diverse Ranking On Heterogeneous Feeds.
Proceedings of the SIGIR 2018 Workshop On eCommerce co-located with the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018), 2018

Genotype-Phenotype association study via new multi-task learning model.
Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018

Session introduction.
Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018

Bilevel Distance Metric Learning for Robust Image Recognition.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Training Neural Networks Using Features Replay.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Panoptic Segmentation with an End-to-End Cell R-CNN for Pathology Image Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Temporal Correlation Structure Learning for MCI Conversion Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Joint High-Order Multi-Task Feature Learning to Predict the Progression of Alzheimer's Disease.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

New Robust Metric Learning Model Using Maximum Correntropy Criterion.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

New Incremental Learning Algorithm for Semi-Supervised Support Vector Machine.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Self-Paced Network Embedding.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Semi-Supervised Generative Adversarial Network for Gene Expression Inference.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Medical image segmentation based on multi-modal convolutional neural network: Study on image fusion schemes.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Latent source mining of fMRI data via deep belief network.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Modeling task fMRI data via mixture of deep expert networks.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Fast Vehicle Identification in Surveillance via Ranked Semantic Sampling Based Embedding.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Multi-Level Metric Learning via Smoothed Wasserstein Distance.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

New Balanced Active Learning Model and Optimization Algorithm.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Deep Attributed Network Embedding.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Stochastic Second-Order Method for Large-Scale Nonconvex Sparse Learning Models.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Joint Generative Moment-Matching Network for Learning Structural Latent Code.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Decoupled Parallel Backpropagation with Convergence Guarantee.
Proceedings of the 35th International Conference on Machine Learning, 2018

Faster Derivative-Free Stochastic Algorithm for Shared Memory Machines.
Proceedings of the 35th International Conference on Machine Learning, 2018

Asynchronous Dual Free Stochastic Dual Coordinate Ascent for Distributed Data Mining.
Proceedings of the IEEE International Conference on Data Mining, 2018

Direct Shape Regression Networks for End-to-End Face Alignment.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Large Kernel Refine Fusion Net for Neuron Membrane Segmentation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Unsupervised Deep Generative Adversarial Hashing Network.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Asynchronous Doubly Stochastic Group Regularized Learning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Direct Hashing Without Pseudo-Labels.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Matrix Variate Gaussian Mixture Distribution Steered Robust Metric Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Accelerated Method for Stochastic Composition Optimization With Nonsmooth Regularization.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Asynchronous Doubly Stochastic Sparse Kernel Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Inexact Proximal Gradient Methods for Non-Convex and Non-Smooth Optimization.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Sentiment Analysis via Deep Hybrid Textual-Crowd Learning Model.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Low Dimensional Representation of Fisher Vectors for Microscopy Image Classification.
IEEE Trans. Med. Imaging, 2017

From Protein Sequence to Protein Function via Multi-Label Linear Discriminant Analysis.
IEEE/ACM Trans. Comput. Biology Bioinform., 2017

Low-Rank Graph-Regularized Structured Sparse Regression for Identifying Genetic Biomarkers.
IEEE Trans. Big Data, 2017

Refined Spectral Clustering via Embedded Label Propagation.
Neural Computation, 2017

Dual discriminative local coding for tissue aging analysis.
Medical Image Analysis, 2017

Optimizing the cervix cytological examination based on deep learning and dynamic shape modeling.
Neurocomputing, 2017

Automatic segmentation of overlapping cervical smear cells based on local distinctive features and guided shape deformation.
Neurocomputing, 2017

Accelerated Method for Stochastic Composition Optimization with Nonsmooth Regularization.
CoRR, 2017

Medical Image Segmentation Based on Multi-Modal Convolutional Neural Network: Study on Image Fusion Schemes.
CoRR, 2017

Fast and Scalable Distributed Deep Convolutional Autoencoder for fMRI Big Data Analytics.
CoRR, 2017

Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization.
CoRR, 2017

Longitudinal Genotype-Phenotype Association Study via Temporal Structure Auto-learning Predictive Model.
Proceedings of the Research in Computational Molecular Biology, 2017

Regularized Modal Regression with Applications in Cognitive Impairment Prediction.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Learning A Structured Optimal Bipartite Graph for Co-Clustering.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Group Sparse Additive Machine.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Supervised Intra-embedding of Fisher Vectors for Histopathology Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Groups-Keeping Solution Path Algorithm for Sparse Regression with Automatic Feature Grouping.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Predicting Interrelated Alzheimer's Disease Outcomes via New Self-learned Structured Low-Rank Model.
Proceedings of the Information Processing in Medical Imaging, 2017

Modeling Task fMRI Data via Deep Convolutional Autoencoder.
Proceedings of the Information Processing in Medical Imaging, 2017

Multi-Class Support Vector Machine via Maximizing Multi-Class Margins.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Predicting Alzheimer's Disease Cognitive Assessment via Robust Low-Rank Structured Sparse Model.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Joint Capped Norms Minimization for Robust Matrix Recovery.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Theoretic Analysis and Extremely Easy Algorithms for Domain Adaptive Feature Learning.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Locally-Transferred Fisher Vectors for Texture Classification.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Multiclass Capped ℓp-Norm SVM for Robust Classifications.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Semi-Supervised Classifications via Elastic and Robust Embedding.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Asynchronous Mini-Batch Gradient Descent with Variance Reduction for Non-Convex Optimization.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Video Recovery via Learning Variation and Consistency of Images.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Local Centroids Structured Non-Negative Matrix Factorization.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Convex Sparse PCA for Unsupervised Feature Learning.
TKDD, 2016

Non-Greedy L21-Norm Maximization for Principal Component Analysis.
CoRR, 2016

Enhancing Sentence Relation Modeling with Auxiliary Character-level Embedding.
CoRR, 2016

Clinical Information Extraction via Convolutional Neural Network.
CoRR, 2016

Distributed Asynchronous Stochastic Dual Coordinate Ascent without Duality.
CoRR, 2016

Asynchronous Stochastic Gradient Descent with Variance Reduction for Non-Convex Optimization.
CoRR, 2016

Decoupled Asynchronous Proximal Stochastic Gradient Descent with Variance Reduction.
CoRR, 2016

Inexact Proximal Gradient Methods for Non-convex and Non-smooth Optimization.
CoRR, 2016

Zeroth-order Asynchronous Doubly Stochastic Algorithm with Variance Reduction.
CoRR, 2016

Asynchronous Doubly Stochastic Proximal Optimization with Variance Reduction.
CoRR, 2016

A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification.
CoRR, 2016

A Closed Form Solution to Multi-View Low-Rank Regression.
CoRR, 2016

Structured sparse CCA for brain imaging genetics via graph OSCAR.
BMC Systems Biology, 2016

Bioimage classification with subcategory discriminant transform of high dimensional visual descriptors.
BMC Bioinformatics, 2016

Structured sparse canonical correlation analysis for brain imaging genetics: an improved GraphNet method.
Bioinformatics, 2016

UTA DLNLP at SemEval-2016 Task 12: Deep Learning Based Natural Language Processing System for Clinical Information Identification from Clinical Notes and Pathology Reports.
Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

UTA DLNLP at SemEval-2016 Task 1: Semantic Textual Similarity: A Unified Framework for Semantic Processing and Evaluation.
Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

Error Analysis of Generalized Nyström Kernel Regression.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Structured Sparse Low-Rank Regression Model for Brain-Wide and Genome-Wide Associations.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Prediction of Memory Impairment with MRI Data: A Longitudinal Study of Alzheimer's Disease.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

New Multi-task Learning Model to Predict Alzheimer's Disease Cognitive Assessment.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Structured Doubly Stochastic Matrix for Graph Based Clustering: Structured Doubly Stochastic Matrix.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Robust and Effective Metric Learning Using Capped Trace Norm: Metric Learning via Capped Trace Norm.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Texture analysis of tissue aging using global and cluster constrained local coding.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Latent source mining in FMRI data via deep neural network.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Fast Robust Non-Negative Matrix Factorization for Large-Scale Human Action Data Clustering.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Subspace Clustering via New Low-Rank Model with Discrete Group Structure Constraint.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

Learning Task Relational Structure for Multi-task Feature Learning.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

New Probabilistic Multi-graph Decomposition Model to Identify Consistent Human Brain Network Modules.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

New Robust Clustering Model for Identifying Cancer Genome Landscapes.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Performance evaluation of two magnetic recovery circuits of forward converter.
Proceedings of the 2016 IEEE Industry Applications Society Annual Meeting, 2016

Histopathology Image Categorization with Discriminative Dimension Reduction of Fisher Vectors.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Drosophila Gene Expression Pattern Annotations via Multi-Instance Biological Relevance Learning.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

The Constrained Laplacian Rank Algorithm for Graph-Based Clustering.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

New l1-Norm Relaxations and Optimizations for Graph Clustering.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

The l2, 1-Norm Stacked Robust Autoencoders for Domain Adaptation.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Optimal Discrete Matrix Completion.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Using Smart Meter Data to Improve the Accuracy of Intraday Load Forecasting Considering Customer Behavior Similarities.
IEEE Trans. Smart Grid, 2015

Large Margin Local Estimate With Applications to Medical Image Classification.
IEEE Trans. Med. Imaging, 2015

Feature Selection via Global Redundancy Minimization.
IEEE Trans. Knowl. Data Eng., 2015

Large-Scale Cross-Language Web Page Classification via Dual Knowledge Transfer Using Fast Nonnegative Matrix Trifactorization.
TKDD, 2015

Locality-constrained Subcluster Representation Ensemble for lung image classification.
Medical Image Analysis, 2015

Sparse representation of whole-brain fMRI signals for identification of functional networks.
Medical Image Analysis, 2015

Joint Schatten p-norm and ℓp-norm robust matrix completion for missing value recovery.
Knowl. Inf. Syst., 2015

Correlated Protein Function Prediction via Maximization of Data-Knowledge Consistency.
Journal of Computational Biology, 2015

Algorithm and Theoretical Analysis for Domain Adaptation Feature Learning with Linear Classifiers.
CoRR, 2015

Identifying Connectome Module Patterns via New Balanced Multi-graph Normalized Cut.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Anatomical Annotations for Drosophila Gene Expression Patterns via Multi-Dimensional Visual Descriptors Integration: Multi-Dimensional Feature Learning.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Bone texture characterization with fisher encoding of local descriptors.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Discriminative Unsupervised Dimensionality Reduction.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Robust Dictionary Learning with Capped l1-Norm.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

A New Simplex Sparse Learning Model to Measure Data Similarity for Clustering.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Learning Shape-Driven Segmentation Based on Neural Network and Sparse Reconstruction Toward Automated Cell Analysis of Cervical Smears.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Multi-view Subspace Clustering.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Factors that impact the accuracy of clustering based load forecasting.
Proceedings of the 2015 IEEE Industry Applications Society Annual Meeting, 2015

Fusing subcategory probabilities for texture classification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Weakly Supervised Natural Language Processing Framework for Abstractive Multi-Document Summarization: Weakly Supervised Abstractive Multi-Document Summarization.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Robust Capped Norm Nonnegative Matrix Factorization: Capped Norm NMF.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

GN-SCCA: GraphNet Based Sparse Canonical Correlation Analysis for Brain Imaging Genetics.
Proceedings of the Brain Informatics and Health - 8th International Conference, 2015

A Closed Form Solution to Multi-View Low-Rank Regression.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Learning Robust Locality Preserving Projection via p-Order Minimization.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Large-Scale Multi-View Spectral Clustering via Bipartite Graph.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Emotion Detection via Discriminant Laplacian Embedding.
Universal Access in the Information Society, 2014

Lesion Detection and Characterization With Context Driven Approximation in Thoracic FDG PET-CT Images of NSCLC Studies.
IEEE Trans. Med. Imaging, 2014

DNA Copy Number Selection Using Robust Structured Sparsity-Inducing Norms.
IEEE/ACM Trans. Comput. Biology Bioinform., 2014

Lung Nodule Classification With Multilevel Patch-Based Context Analysis.
IEEE Trans. Biomed. Engineering, 2014

Self-taught learning via exponential family sparse coding for cost-effective patient thought record categorization.
Personal and Ubiquitous Computing, 2014

A generative probability model of joint label fusion for multi-atlas based brain segmentation.
Medical Image Analysis, 2014

A Convex Sparse PCA for Feature Analysis.
CoRR, 2014

Transcriptome-guided amyloid imaging genetic analysis via a novel structured sparse learning algorithm.
Bioinformatics, 2014

Correlated Protein Function Prediction via Maximization of Data-Knowledge Consistency.
Proceedings of the Research in Computational Molecular Biology, 2014

Unsupervised Feature Selection via Unified Trace Ratio Formulation and K-means Clustering (TRACK).
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Flexible Shift-Invariant Locality and Globality Preserving Projections.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Human Connectome Module Pattern Detection Using a New Multi-graph MinMax Cut Model.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Large Margin Aggregation of Local Estimates for Medical Image Classification.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

A Novel Structure-Aware Sparse Learning Algorithm for Brain Imaging Genetics.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Large-scale adaptive semi-supervised learning via unified inductive and transductive model.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Clustering and projected clustering with adaptive neighbors.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Joint identification of imaging and proteomics biomarkers of Alzheimer's disease using network-guided sparse learning.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Robust Distance Metric Learning via Simultaneous L1-Norm Minimization and Maximization.
Proceedings of the 31th International Conference on Machine Learning, 2014

Optimal Mean Robust Principal Component Analysis.
Proceedings of the 31th International Conference on Machine Learning, 2014

Linear Time Solver for Primal SVM.
Proceedings of the 31th International Conference on Machine Learning, 2014

An overview of AMI data preprocessing to enhance the performance of load forecasting.
Proceedings of the 2014 IEEE Industry Application Society Annual Meeting, 2014

Video Motion Segmentation Using New Adaptive Manifold Denoising Model.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Low-Rank Tensor Completion with Spatio-Temporal Consistency.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Globally and Locally Consistent Unsupervised Projection.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

A Convex Formulation for Semi-Supervised Multi-Label Feature Selection.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Social trust prediction using heterogeneous networks.
TKDD, 2013

Robust Manifold Nonnegative Matrix Factorization.
TKDD, 2013

Toward structural sparsity: an explicit ℓ2/ℓ0 approach.
Knowl. Inf. Syst., 2013

Predicting Protein-Protein Interactions from Multimodal Biological Data Sources via Nonnegative Matrix Tri-Factorization.
Journal of Computational Biology, 2013

Function-Function Correlated Multi-label Protein Function Prediction over Interaction Networks.
Journal of Computational Biology, 2013

Region-based progressive localization of cell nuclei in microscopic images with data adaptive modeling.
BMC Bioinformatics, 2013

Network-Guided Sparse Learning for Predicting Cognitive Outcomes from MRI Measures.
Proceedings of the Multimodal Brain Image Analysis - Third International Workshop, 2013

Similarity Guided Feature Labeling for Lesion Detection.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

A New Sparse Simplex Model for Brain Anatomical and Genetic Network Analysis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

On the equivalent of low-rank linear regressions and linear discriminant analysis based regressions.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Towards adaptive dialogue systems for assistive living environments.
Proceedings of the 18th International Conference on Intelligent User Interfaces, 2013

Structural Brain Network Constrained Neuroimaging Marker Identification for Predicting Cognitive Functions.
Proceedings of the Information Processing in Medical Imaging, 2013

Protein Function Prediction via Laplacian Network Partitioning Incorporating Function Category Correlations.
Proceedings of the IJCAI 2013, 2013

Early Active Learning via Robust Representation and Structured Sparsity.
Proceedings of the IJCAI 2013, 2013

Adaptive Loss Minimization for Semi-Supervised Elastic Embedding.
Proceedings of the IJCAI 2013, 2013

Social Trust Prediction Using Rank-k Matrix Recovery.
Proceedings of the IJCAI 2013, 2013

Multi-View K-Means Clustering on Big Data.
Proceedings of the IJCAI 2013, 2013

Exact Top-k Feature Selection via l2, 0-Norm Constraint.
Proceedings of the IJCAI 2013, 2013

Multi-View Clustering and Feature Learning via Structured Sparsity.
Proceedings of the 30th International Conference on Machine Learning, 2013

Robust and Discriminative Self-Taught Learning.
Proceedings of the 30th International Conference on Machine Learning, 2013

Semi-supervised Robust Dictionary Learning via Efficient l-Norms Minimization.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Heterogeneous Image Features Integration via Multi-modal Semi-supervised Learning Model.
Proceedings of the IEEE International Conference on Computer Vision, 2013

New Graph Structured Sparsity Model for Multi-label Image Annotations.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Heterogeneous Visual Features Fusion via Sparse Multimodal Machine.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Supervised and Projected Sparse Coding for Image Classification.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

Spectral Rotation versus K-Means in Spectral Clustering.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

Robust Discrete Matrix Completion.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
No Silver Bullet: Identifying Security Vulnerabilities in Anonymization Protocols for Hospital Databases.
IJHISI, 2012

From phenotype to genotype: an association study of longitudinal phenotypic markers to Alzheimer's disease relevant SNPs.
Bioinformatics, 2012

Identifying disease sensitive and quantitative trait-relevant biomarkers from multidimensional heterogeneous imaging genetics data via sparse multimodal multitask learning.
Bioinformatics, 2012

Identifying quantitative trait loci via group-sparse multitask regression and feature selection: an imaging genetics study of the ADNI cohort.
Bioinformatics, 2012

Joint stage recognition and anatomical annotation of drosophila gene expression patterns.
Bioinformatics, 2012

Predicting Protein-Protein Interactions from Multimodal Biological Data Sources via Nonnegative Matrix Tri-Factorization.
Proceedings of the Research in Computational Molecular Biology, 2012

Function-Function Correlated Multi-Label Protein Function Prediction over Interaction Networks.
Proceedings of the Research in Computational Molecular Biology, 2012

High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction.
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

Forging The Graphs: A Low Rank and Positive Semidefinite Graph Learning Approach.
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

Multimodal Neuroimaging Predictors for Cognitive Performance Using Structured Sparse Learning.
Proceedings of the Multimodal Brain Image Analysis - Second International Workshop, 2012

Context Enhanced Graphical Model for Object Localization in Medical Images.
Proceedings of the Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging, 2012

Group-Wise Consistent Parcellation of Gyri via Adaptive Multi-view Spectral Clustering of Fiber Shapes.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Simultaneous Image Annotation and Geo-Tag Prediction via Correlation Guided Multi-task Learning.
Proceedings of the 2012 IEEE International Symposium on Multimedia, 2012

An Iterative Locally Linear Embedding Algorithm.
Proceedings of the 29th International Conference on Machine Learning, 2012

Robust Matrix Completion via Joint Schatten p-Norm and lp-Norm Minimization.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Parallelization with Multiplicative Algorithms for Big Data Mining.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Simultaneous Image Classification and Annotation via Biased Random Walk on Tri-relational Graph.
Proceedings of the Computer Vision - ECCV 2012, 2012

Robust and discriminative distance for Multi-Instance Learning.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Object localization in medical images based on graphical model with contrast and interest-region terms.
Proceedings of the 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012

Multi-label ReliefF and F-statistic feature selections for image annotation.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Trust prediction via aggregating heterogeneous social networks.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Low-Rank Matrix Recovery via Efficient Schatten p-Norm Minimization.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Cross-language web page classification via dual knowledge transfer using nonnegative matrix tri-factorization.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Multi-Subspace Representation and Discovery.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Graph Evolution via Social Diffusion Processes.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Cost effective depression patient thought record categorization via self-taught learning.
Proceedings of the PETRA 2011, 2011

Are Tensor Decomposition Solutions Unique? On the Global Convergence HOSVD and ParaFac Algorithms.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Maximum Margin Multi-Instance Learning.
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

Learning frame relevance for video classification.
Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

Identifying AD-Sensitive and Cognition-Relevant Imaging Biomarkers via Joint Classification and Regression.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Fast Nonnegative Matrix Tri-Factorization for Large-Scale Data Co-Clustering.
Proceedings of the IJCAI 2011, 2011

Robust Principal Component Analysis with Non-Greedy l1-Norm Maximization.
Proceedings of the IJCAI 2011, 2011

Ball Ranking Machine for Content-Based Multimedia Retrieval.
Proceedings of the IJCAI 2011, 2011

Cluster Indicator Decomposition for Efficient Matrix Factorization.
Proceedings of the IJCAI 2011, 2011

Cauchy Graph Embedding.
Proceedings of the 28th International Conference on Machine Learning, 2011

Nonnegative Matrix Tri-factorization Based High-Order Co-clustering and Its Fast Implementation.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Multi-Class L2, 1-Norm Support Vector Machine.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Consensus spectral clustering in near-linear time.
Proceedings of the 27th International Conference on Data Engineering, 2011

Sparse multi-task regression and feature selection to identify brain imaging predictors for memory performance.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Dyadic transfer learning for cross-domain image classification.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Unsupervised and semi-supervised learning via ℓ1-norm graph.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Discriminative high order SVD: Adaptive tensor subspace selection for image classification, clustering, and retrieval.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Load model development for next generation appliances.
Proceedings of the 2011 IEEE Industry Applications Society Annual Meeting, 2011

Image annotation using bi-relational graph of images and semantic labels.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Heterogeneous image feature integration via multi-modal spectral clustering.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Simultaneous clustering of multi-type relational data via symmetric nonnegative matrix tri-factorization.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Coarse-to-fine classification via parametric and nonparametric models for computer-aided diagnosis.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Robust nonnegative matrix factorization using L21-norm.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Learning Instance Specific Distance for Multi-Instance Classification.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

Multi-Level Cluster Indicator Decompositions of Matrices and Tensors.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

Linear Discriminant Analysis: New Formulations and Overfit Analysis.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
On the eigenvectors of p-Laplacian.
Machine Learning, 2010

Stationary Wavelet Packet Transform and Dependent Laplacian Bivariate Shrinkage Estimator for Array-CGH Data Smoothing.
Journal of Computational Biology, 2010

Solenoid and non-solenoid protein recognition using stationary wavelet packet transform.
Bioinformatics, 2010

Mass spectrometry data processing using zero-crossing lines in multi-scale of Gaussian derivative wavelet.
Bioinformatics, 2010

Directed Graph Learning via High-Order Co-linkage Analysis.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Improved MinMax Cut Graph Clustering with Nonnegative Relaxation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Emotion detection via discriminative kernel method.
Proceedings of the 3rd International Conference on Pervasive Technologies Related to Assistive Environments, 2010

An interactive user interface system for Alzheimer's intervention.
Proceedings of the 3rd International Conference on Pervasive Technologies Related to Assistive Environments, 2010

Face Aging by Sparse Representation.
Proceedings of the Advances in Multimedia Information Processing - PCM 2010, 2010

Efficient and Robust Feature Selection via Joint ℓ2, 1-Norms Minimization.
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

Towards Structural Sparsity: An Explicit l2/l0 Approach.
Proceedings of the ICDM 2010, 2010

Multi-label Feature Transform for Image Classifications.
Proceedings of the Computer Vision, 2010

Image Categorization Using Directed Graphs.
Proceedings of the Computer Vision, 2010

Multi-label Linear Discriminant Analysis.
Proceedings of the Computer Vision - ECCV 2010, 2010

Discriminant Laplacian Embedding.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

Multi-Label Classification: Inconsistency and Class Balanced K-Nearest Neighbor.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
An event driven framework for assistive CPS environments.
SIGBED Review, 2009

Peak Detection in Mass Spectrometry by Gabor Filters and Envelope Analysis.
J. Bioinformatics and Computational Biology, 2009

Are Tensor Decomposition Solutions Unique? On the global convergence of HOSVD and ParaFac algorithms
CoRR, 2009

Link prediction of multimedia social network via unsupervised face recognition.
Proceedings of the 17th International Conference on Multimedia 2009, 2009

Heterogeneous Data Fusion to Type Brain Tumor Biopsies.
Proceedings of the Artificial Intelligence Applications and Innovations III, 2009

Non-negative Laplacian Embedding.
Proceedings of the ICDM 2009, 2009

Image annotation using multi-label correlated Green's function.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Symmetric two dimensional linear discriminant analysis (2DLDA).
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
Requirements for implementation of localization into real-world assistive environments.
Proceedings of the 1st ACM International Conference on Pervasive Technologies Related to Assistive Environments, 2008

Simultaneous tensor subspace selection and clustering: the equivalence of high order svd and k-means clustering.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

High dimensional statistical shape model for medical image analysis.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Robust tensor factorization using R1 norm.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Tensor reduction error analysis - Applications to video compression and classification.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
A Novel Surface Registration Algorithm With Biomedical Modeling Applications.
IEEE Trans. Information Technology in Biomedicine, 2007

Three-dimensional Models for Cardiac Bioelectricity Simulation: Cell to Organ.
Simulation, 2007

A Feature Extraction Metod for Multimedia data Analysis in Robot Wireless Sensor Networks.
Proceedings of the Eighth International Workshop on Image Analysis for Multimedia Interactive Services, 2007

A garbage-collecting typed assembly language.
Proceedings of TLDI'07: 2007 ACM SIGPLAN International Workshop on Types in Languages Design and Implementation, 2007

Surface Harmonics for Shape Modeling.
Proceedings of the International Conference on Image Processing, 2007

Efficient Registration of 3D SPHARM Surfaces.
Proceedings of the Fourth Canadian Conference on Computer and Robot Vision (CRV 2007), 2007

Morphometric Analysis of Hippocampal Shape in Mild Cognitive Impairment: An Imaging Genetics Study.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

Denoising of Array-Based DNA Copy Number Data Using The Dual-tree Complex Wavelet Transform.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

A New Smoothing Model for Analyzing Array CGH Data.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

A New Hybrid Technique for Dermatological Image Registration.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

2006
Fast surface alignment for cardiac spatio-temporal modeling: application to ischemic cardiac shape modeling.
Proceedings of the Medical Imaging 2006: Image Processing, 2006

Spatio-temporal analysis tool for modeling pulmonary nodules in MR images.
Proceedings of the Medical Imaging 2006: Visualization, 2006

Hemispherical Harmonic Surface Description and Applications to Medical Image Analysis.
Proceedings of the 3rd International Symposium on 3D Data Processing, 2006

A Spatio-Temporal Modeling Method for Shape Representation.
Proceedings of the 3rd International Symposium on 3D Data Processing, 2006

2005
A clustering-based approach for prediction of cardiac resynchronization therapy.
Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), 2005

A New Test System for Stability Measurement of Marker Gene Selection in DNA Microarray Data Analysis.
Proceedings of the Advances in Informatics, 2005

Functional analysis of cardiac MR images using SPHARM modeling.
Proceedings of the Medical Imaging 2005: Image Processing, 2005

An interactive 3D visualization and manipulation tool for effective assessment of angiogenesis and arteriogenesis using computed tomographic angiography.
Proceedings of the Medical Imaging 2005: Visualization, 2005

A Prediction Framework for Cardiac Resynchronization Therapy Via 4D Cardiac Motion Analysis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005

Surface Alignment of 3D Spherical Harmonic Models: Application to Cardiac MRI Analysis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005

K-means+ Method for Improving Gene Selection for Classification of Microarray Data.
Proceedings of the Fourth International IEEE Computer Society Computational Systems Bioinformatics Conference Workshops & Poster Abstracts, 2005

2004
Post-classification smoothing of digital classification map of St. Louis, Missouri.
Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004

2000
Custom design of facility layouts for multiproduct facilities using layout modules.
IEEE Trans. Robotics and Automation, 2000


  Loading...