Adrian Barbu

IEEE Trans. Knowl. Data Eng., November, 2023

Slow Kill for Big Data Learning.

[BibT_eX]

[DOI]

Jiahui Shen

IEEE Trans. Inf. Theory, September, 2023

Training a Two-Layer ReLU Network Analytically.

[BibT_eX]

[DOI]

Sensors, 2023

Slow Kill for Big Data Learning.

[BibT_eX]

[DOI]

Jianhui Shen

CoRR, 2023

Feature Selection for Forecasting.

[BibT_eX]

[DOI]

Hakan Pabuccu

CoRR, 2023

Scalable Clustering: Large Scale Unsupervised Learning of Gaussian Mixture Models with Outliers.

[BibT_eX]

[DOI]

Yijia Zhou

Kyle A. Gallivan

CoRR, 2023

Reliable Classification using Compact Support Probabilistic PCA.

[BibT_eX]

[DOI]

Jason Zhang

Proceedings of the International Conference on Machine Learning and Applications, 2023

2022

A Study of Shape Modeling Against Noise.

[BibT_eX]

[DOI]

Cheng Long

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Scalable Learning with Incremental Probabilistic PCA.

[BibT_eX]

[DOI]

Boshi Wang

Proceedings of the IEEE International Conference on Big Data, 2022

2021

The Compact Support Neural Network.

[BibT_eX]

[DOI]

Hongyu Mou

Sensors, 2021

Predicting Lane Change Decision Making with Compact Support.

[BibT_eX]

[DOI]

Hua Huang

Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

A Study of Local Optima for Learning Feature Interactions using Neural Networks.

[BibT_eX]

[DOI]

Ying Nian Wu

Proceedings of the International Joint Conference on Neural Networks, 2021

Network Pruning via Annealing and Direct Sparsity Control.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

A study of local optima for learning feature interactions using neural networks.

[BibT_eX]

[DOI]

CoRR, 2020

Training Efficient Network Architecture and Weights via Direct Sparsity Control.

[BibT_eX]

[DOI]

CoRR, 2020

The Generalization-Stability Tradeoff In Neural Network Pruning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Neural Rule Ensembles: Encoding Sparse Feature Interactions into Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Generating Compact Tree Ensembles via Annealing.

[BibT_eX]

[DOI]

Gitesh Dawer

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Training a Steerable CNN for Guidewire Detection.

[BibT_eX]

[DOI]

Donghang Li

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Playing Atari Ball Games with Hierarchical Reinforcement Learning.

[BibT_eX]

[DOI]

Hua Huang

CoRR, 2019

Training a CNN for Guidewire Detection.

[BibT_eX]

[DOI]

Donghang Li

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Learning Chan-Vese.

[BibT_eX]

[DOI]

Orhan Akal

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

Parameterized principal component analysis.

[BibT_eX]

[DOI]

Ajay Gupta

Pattern Recognit., 2018

RENOIR - A dataset for real low-light image noise reduction.

[BibT_eX]

[DOI]

Josue Anaya

J. Vis. Commun. Image Represent., 2018

Are screening methods useful in feature selection? An empirical study.

[BibT_eX]

[DOI]

Mingyuan Wang

CoRR, 2018

Enhancing the Regularization Effect of Weight Pruning in Artificial Neural Networks.

[BibT_eX]

[DOI]

Brian R. Bartoldson

Gordon Erlebacher

CoRR, 2018

Unsupervised Learning of Mixture Models with a Uniform Background Component.

[BibT_eX]

[DOI]

Sida Liu

CoRR, 2018

Online Regression with Model Selection.

[BibT_eX]

[DOI]

Lizhe Sun

CoRR, 2018

Random Hinge Forest for Differentiable Learning.

[BibT_eX]

[DOI]

CoRR, 2018

An analysis of robust cost functions for CNN in computer-aided diagnosis.

[BibT_eX]

[DOI]

Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018

A Decomposable Model for the Detection of Prostate Cancer in Multi-parametric MRI.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

A Distributed Sensing Approach for Single Platform Image-Based Localization.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Accurate Dictionary Learning with Direct Sparsity Control.

[BibT_eX]

[DOI]

Hongyu Mou

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017

Feature Selection with Annealing for Computer Vision and Big Data Learning.

[BibT_eX]

[DOI]

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

Relevant Ensemble of Trees.

[BibT_eX]

[DOI]

Gitesh Dawer

CoRR, 2017

A directed graph approach to active contours.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2015

Editorial introduction to the CVIU special issue on "Generative models in computer vision and medical imaging".

[BibT_eX]

[DOI]

Iasonas Kokkinos

Comput. Vis. Image Underst., 2015

Leveraging Mid-Level Semantic Boundary Cues for Automated Lymph Node Detection.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

2014

Swendsen-Wang Cut Algorithm.

[BibT_eX]

[DOI]

Computer Vision, A Reference Guide, 2014

Swendsen-Wang Algorithm.

[BibT_eX]

[DOI]

Computer Vision, A Reference Guide, 2014

Face Detection Using a 3D Model on Face Keypoints.

[BibT_eX]

[DOI]

Gary Gramajo

CoRR, 2014

RENOIR - A Benchmark Dataset for Real Noise Reduction Evaluation.

[BibT_eX]

[DOI]

Josue Anaya

CoRR, 2014

Synthetic data generation for classification via uni-modal cluster interpolation.

[BibT_eX]

[DOI]

Eric Joe Coyle

Rodney G. Roberts

Auton. Robots, 2014

2013

Hierarchical Object Parsing from Structured Noisy Point Clouds.

[BibT_eX]

[DOI]

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

An Efficient Stochastic Clustering Auction for Heterogeneous Robotic Collaborative Teams.

[BibT_eX]

[DOI]

Kai Zhang

J. Intell. Robotic Syst., 2013

Fast Simultaneous Feature Selection and Learning.

[BibT_eX]

[DOI]

CoRR, 2013

Rates for Inductive Learning of Compositional Models.

[BibT_eX]

[DOI]

Maria Pavlovskaia

Proceedings of the Learning Rich Representations from Low-Level Sensors, 2013

2012

Automatic Detection and Segmentation of Lymph Nodes From CT Data.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2012

An introduction to artificial prediction markets for classification.

[BibT_eX]

[DOI]

Nathan Lay

J. Mach. Learn. Res., 2012

An efficient stochastic clustering auction for heterogeneous robot teams.

[BibT_eX]

[DOI]

Kai Zhang

Proceedings of the IEEE International Conference on Robotics and Automation, 2012

Motion Segmentation by Velocity Clustering with Estimation of Subspace Dimension.

[BibT_eX]

[DOI]

Liangjing Ding

Anke Meyer-Baese

Proceedings of the Computer Vision - ACCV 2012 Workshops, 2012

Learning a Quality-Based Ranking for Feature Point Trajectories.

[BibT_eX]

[DOI]

Liangjing Ding

Anke Meyer-Baese

Proceedings of the Computer Vision - ACCV 2012, 2012

2011

Hierarchical Object Parsing from Noisy Point Clouds

[BibT_eX]

[DOI]

CoRR, 2011

Learning-based hypothesis fusion for robust catheter tracking in 2D X-ray fluoroscopy.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

Automatic Detection and Segmentation of Axillary Lymph Nodes.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

A novel Stochastic Clustering Auction for task allocation in multi-robot teams.

[BibT_eX]

[DOI]

Kai Zhang

Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Supervised Aggregation of Classifiers using Artificial Prediction Markets.

[BibT_eX]

[DOI]

Nathan Lay

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

2009

Training an Active Random Field for Real-Time Image Denoising.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2009

Hierarchical parsing and semantic navigation of full body CT data.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2009: Image Processing, 2009

Learning real-time MRF inference for image denoising.

[BibT_eX]

[DOI]

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008

Four-Chamber Heart Modeling and Automatic Segmentation for 3-D Cardiac CT Volumes Using Marginal Space Learning and Steerable Features.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2008

Four-chamber heart modeling and automatic segmentation for 3D cardiac CT volumes.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2008: Image Processing, 2008

A learning based hierarchical model for vessel segmentation.

[BibT_eX]

[DOI]

Richard Socher

Dorin Comaniciu

Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Simultaneous Detection and Registration for Ileo-Cecal Valve Detection in 3D CT Colonography.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision, 2008

Accurate polyp segmentation for 3D CT colongraphy using multi-staged probabilistic binary learning and compositional model.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007

Fast Automatic Heart Chamber Segmentation from 3D CT Data Using Marginal Space Learning and Steerable Features.

[BibT_eX]

[DOI]

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Hierarchical Learning of Curves Application to Guidewire Localization in Fluoroscopy.

[BibT_eX]

[DOI]

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006

Hierarchical Part-Based Detection of 3D Flexible Tubes: Application to CT Colonoscopy.

[BibT_eX]

[DOI]

Luca Bogoni

Dorin Comaniciu

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

Probabilistic 3D Polyp Detection in CT Images: The Role of Sample Alignment.

[BibT_eX]

[DOI]

Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005

Generalizing Swendsen-Wang to Sampling Arbitrary Posterior Probabilities.

[BibT_eX]

[DOI]

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

Incorporating Visual Knowledge Representation in Stereo Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

2004

On the Relationship Between Image and Motion Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Spatial Coherence for Visual Motion Analysis, 2004

Multigrid and Multi-Level Swendsen-Wang Cuts for Hierarchic Graph Partition.

[BibT_eX]

[DOI]

Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

Motion Estimation by Swendsen-Wang Cuts.

[BibT_eX]

[DOI]

Alan L. Yuille

Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

2003

Graph Partition by Swendsen-Wang Cuts.

[BibT_eX]

[DOI]