Quanquan Gu

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

Agnostic Learning of a Single Neuron with Gradient Descent.

[BibT_eX]

[DOI]

Spencer Frei

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

A Generalized Neural Tangent Kernel Analysis for Two-layer Neural Networks.

[BibT_eX]

[DOI]

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

DP-LSSGD: A Stochastic Optimization Method to Lift the Utility in Privacy-Preserving ERM.

[BibT_eX]

[DOI]

Proceedings of Mathematical and Scientific Machine Learning, 2020

RayS: A Ray Searching Method for Hard-label Adversarial Attack.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Neural Contextual Bandits with UCB-based Exploration.

[BibT_eX]

[DOI]

Lihong Li

Proceedings of the 37th International Conference on Machine Learning, 2020

Optimization Theory for ReLU Neural Networks Trained with Normalization Layers.

[BibT_eX]

[DOI]

Yonatan Dukler

Guido Montúfar

Proceedings of the 37th International Conference on Machine Learning, 2020

A Finite-Time Analysis of Q-Learning with Neural Network Function Approximation.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

On the Global Convergence of Training Deep Linear ResNets.

[BibT_eX]

[DOI]

Philip M. Long

Proceedings of the 8th International Conference on Learning Representations, 2020

Improving Neural Language Generation with Spectrum Control.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Improving Adversarial Robustness Requires Revisiting Misclassified Examples.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Sample Efficient Policy Gradient Methods with Recursive Variance Reduction.

[BibT_eX]

[DOI]

Felicia Gao

Proceedings of the 8th International Conference on Learning Representations, 2020

Stochastic Recursive Variance-Reduced Cubic Regularization Methods.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Accelerated Factored Gradient Descent for Low-Rank Matrix Factorization.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Understanding the Intrinsic Robustness of Image Distributions using Conditional Generative Models.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

A Knowledge Transfer Framework for Differentially Private Sparse Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Rank Aggregation via Heterogeneous Thurstone Preference Models.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Generalization Error Bounds of Gradient Descent for Learning Over-Parameterized Deep ReLU Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Stochastic Variance-Reduced Cubic Regularization Methods.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2019

Neural Contextual Bandits with Upper Confidence Bound-Based Exploration.

[BibT_eX]

[DOI]

Lihong Li

CoRR, 2019

Efficient Privacy-Preserving Nonconvex Optimization.

[BibT_eX]

[DOI]

CoRR, 2019

DP-LSSGD: A Stochastic Optimization Method to Lift the Utility in Privacy-Preserving ERM.

[BibT_eX]

[DOI]

CoRR, 2019

A Generalization Theory of Gradient Descent for Learning Over-parameterized Deep ReLU Networks.

[BibT_eX]

[DOI]

CoRR, 2019

An Improved Convergence Analysis of Stochastic Variance-Reduced Policy Gradient.

[BibT_eX]

[DOI]

Felicia Gao

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

An Improved Analysis of Training Over-parameterized Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Stochastic Gradient Hamiltonian Monte Carlo Methods with Recursive Variance Reduction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Algorithm-Dependent Generalization Bounds for Overparameterized Deep Residual Networks.

[BibT_eX]

[DOI]

Spencer Frei

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Generalization Bounds of Stochastic Gradient Descent for Wide and Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Tight Sample Complexity of Learning One-hidden-layer Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Differentially Private Iterative Gradient Hard Thresholding for Sparse Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Lower Bounds for Smooth Nonconvex Finite-Sum Optimization.

[BibT_eX]

[DOI]

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

On the Convergence and Robustness of Adversarial Training.

[BibT_eX]

[DOI]

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

Sampling from Non-Log-Concave Distributions via Variance-Reduced Gradient Langevin Dynamics.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Learning One-hidden-layer ReLU Networks via Gradient Descent.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Sample Efficient Stochastic Variance-Reduced Cubic Regularization Method.

[BibT_eX]

[DOI]

CoRR, 2018

A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks.

[BibT_eX]

[DOI]

Jinfeng Yi

CoRR, 2018

Stochastic Gradient Descent Optimizes Over-parameterized Deep ReLU Networks.

[BibT_eX]

[DOI]

CoRR, 2018

On the Convergence of Adaptive Gradient Methods for Nonconvex Optimization.

[BibT_eX]

[DOI]

CoRR, 2018

Finding Local Minima via Stochastic Nested Variance Reduction.

[BibT_eX]

[DOI]

CoRR, 2018

Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2018

Subsampled Stochastic Variance-Reduced Gradient Langevin Dynamics.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Continuous-Trait Probabilistic Model for Comparing Multi-species Functional Genomic Data.

[BibT_eX]

[DOI]

Proceedings of the Research in Computational Molecular Biology, 2018

Differentially Private Hypothesis Transfer Learning.

[BibT_eX]

[DOI]

Yang Wang

Donald E. Brown

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Stochastic Nested Variance Reduced Gradient Descent for Nonconvex Optimization.

[BibT_eX]

[DOI]

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

Third-order Smoothness Helps: Faster Stochastic Optimization Algorithms for Finding Local Minima.

[BibT_eX]

[DOI]

Yaodong Yu

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

Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization.

[BibT_eX]

[DOI]

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

Distributed Learning without Distress: Privacy-Preserving Empirical Risk Minimization.

[BibT_eX]

[DOI]

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

Stochastic Variance-Reduced Hamilton Monte Carlo Methods.

[BibT_eX]

[DOI]

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

Stochastic Variance-Reduced Cubic Regularized Newton Method.

[BibT_eX]

[DOI]

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

A Primal-Dual Analysis of Global Optimality in Nonconvex Low-Rank Matrix Recovery.

[BibT_eX]

[DOI]

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

Fast and Sample Efficient Inductive Matrix Completion via Multi-Phase Procrustes Flow.

[BibT_eX]

[DOI]

Simon S. Du

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

Continuous and Discrete-time Accelerated Stochastic Mirror Descent for Strongly Convex Functions.

[BibT_eX]

[DOI]

Tianhao Wang

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

Covariate Adjusted Precision Matrix Estimation via Nonconvex Optimization.

[BibT_eX]

[DOI]

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

Towards Personalized Learning in Mobile Sensing Systems.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

A Unified Framework for Nonconvex Low-Rank plus Sparse Matrix Recovery.

[BibT_eX]

[DOI]

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

Accelerated Stochastic Mirror Descent: From Continuous-time Dynamics to Discrete-time Algorithms.

[BibT_eX]

[DOI]

Tianhao Wang

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

2017

Third-order Smoothness Helps: Even Faster Stochastic Optimization Algorithms for Finding Local Minima.

[BibT_eX]

[DOI]

Yaodong Yu

CoRR, 2017

Saving Gradient and Negative Curvature Computations: Finding Local Minima More Efficiently.

[BibT_eX]

[DOI]

Yaodong Yu

CoRR, 2017

Speeding Up Latent Variable Gaussian Graphical Model Estimation via Nonconvex Optimizations.

[BibT_eX]

[DOI]

Jian Ma

CoRR, 2017

Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization.

[BibT_eX]

[DOI]

CoRR, 2017

Robust Wirtinger Flow for Phase Retrieval with Arbitrary Corruption.

[BibT_eX]

[DOI]

CoRR, 2017

Speeding Up Latent Variable Gaussian Graphical Model Estimation via Nonconvex Optimization.

[BibT_eX]

[DOI]

Jian Ma

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

Fast Newton Hard Thresholding Pursuit for Sparsity Constrained Nonconvex Optimization.

[BibT_eX]

[DOI]

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

High-Dimensional Variance-Reduced Stochastic Gradient Expectation-Maximization Algorithm.

[BibT_eX]

[DOI]

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

A Unified Variance Reduction-Based Framework for Nonconvex Low-Rank Matrix Recovery.

[BibT_eX]

[DOI]

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

Robust Gaussian Graphical Model Estimation with Arbitrary Corruption.

[BibT_eX]

[DOI]

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

Uncertainty Assessment and False Discovery Rate Control in High-Dimensional Granger Causal Inference.

[BibT_eX]

[DOI]

Aditya Chaudhry

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

Efficient Algorithm for Sparse Tensor-variate Gaussian Graphical Models via Gradient Descent.

[BibT_eX]

[DOI]

Tingting Zhang

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

A Unified Computational and Statistical Framework for Nonconvex Low-rank Matrix Estimation.

[BibT_eX]

[DOI]

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

Communication-efficient Distributed Sparse Linear Discriminant Analysis.

[BibT_eX]

[DOI]

Lu Tian

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

High-dimensional Time Series Clustering via Cross-Predictability.

[BibT_eX]

[DOI]

Dezhi Hong

Kamin Whitehouse

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

2016

Forward Backward Greedy Algorithms for Multi-Task Learning with Faster Rates.

[BibT_eX]

[DOI]

Lu Tian

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Accelerated Stochastic Block Coordinate Gradient Descent for Sparsity Constrained Nonconvex Optimization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Contextual Bandits in a Collaborative Environment.

[BibT_eX]

[DOI]

Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Semiparametric Differential Graph Models.

[BibT_eX]

[DOI]

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

Accelerated Stochastic Block Coordinate Descent with Optimal Sampling.

[BibT_eX]

[DOI]

Aston Zhang

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

On the Statistical Limits of Convex Relaxations.

[BibT_eX]

[DOI]

Zhaoran Wang

Han Liu

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

Towards Faster Rates and Oracle Property for Low-Rank Matrix Estimation.

[BibT_eX]

[DOI]

Huan Gui

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

Precision Matrix Estimation in High Dimensional Gaussian Graphical Models with Faster Rates.

[BibT_eX]

[DOI]

Xiang Ren

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

Optimal Statistical and Computational Rates for One Bit Matrix Completion.

[BibT_eX]

[DOI]

Renkun Ni

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

Low-Rank and Sparse Structure Pursuit via Alternating Minimization.

[BibT_eX]

[DOI]

Zhaoran Wang

Han Liu

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

2015

A Framework of Mining Trajectories from Untrustworthy Data in Cyber-Physical System.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2015

GIN: A Clustering Model for Capturing Dual Heterogeneity in Networked Data.

[BibT_eX]

[DOI]

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Robust Classification of Information Networks by Consistent Graph Learning.

[BibT_eX]

[DOI]

Shi Zhi

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

High Dimensional EM Algorithm: Statistical Optimization and Asymptotic Normality.

[BibT_eX]

[DOI]

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

Towards a Lower Sample Complexity for Robust One-bit Compressed Sensing.

[BibT_eX]

[DOI]

Rongda Zhu

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

Classification with Active Learning and Meta-Paths in Heterogeneous Information Networks.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014

Online and active learning of big networks: theory and algorithms

[BibT_eX]

[DOI]

PhD thesis, 2014

A network-assisted co-clustering algorithm to discover cancer subtypes based on gene expression.

[BibT_eX]

[DOI]

BMC Bioinform., 2014

Personalized entity recommendation: a heterogeneous information network approach.

[BibT_eX]

[DOI]

Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Batch-Mode Active Learning via Error Bound Minimization.

[BibT_eX]

[DOI]

Tong Zhang

Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Sparse PCA with Oracle Property.

[BibT_eX]

[DOI]

Zhaoran Wang

Han Liu

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

Robust Tensor Decomposition with Gross Corruption.

[BibT_eX]

[DOI]

Huan Gui

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

ClusCite: effective citation recommendation by information network-based clustering.

[BibT_eX]

[DOI]

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Online Spectral Learning on a Graph with Bandit Feedback.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Active Learning: A Survey.

[BibT_eX]

[DOI]

Proceedings of the Data Classification: Algorithms and Applications, 2014

2013

Trustworthiness analysis of sensor data in cyber-physical systems.

[BibT_eX]

[DOI]

J. Comput. Syst. Sci., 2013

Recommendation in heterogeneous information networks with implicit user feedback.

[BibT_eX]

[DOI]

Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Mining lines in the sand: on trajectory discovery from untrustworthy data in cyber-physical system.

[BibT_eX]

[DOI]

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Selective sampling on graphs for classification.

[BibT_eX]

[DOI]

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Wireless sensor network data collection by connected cooperative UAVs.

[BibT_eX]

[DOI]

Peng Wei

Dengfeng Sun

Proceedings of the American Control Conference, 2013

Clustered Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

Unsupervised Link Selection in Networks.

[BibT_eX]

[DOI]

Charu C. Aggarwal

Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2012

Latent Community Topic Analysis: Integration of Community Discovery with Topic Modeling.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2012

Locality Preserving Feature Learning.

[BibT_eX]

[DOI]

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

Citation Prediction in Heterogeneous Bibliographic Networks.

[BibT_eX]

[DOI]

Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

IntruMine: Mining Intruders in Untrustworthy Data of Cyber-physical Systems.

[BibT_eX]

[DOI]

Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Selective Labeling via Error Bound Minimization.

[BibT_eX]

[DOI]

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

Towards Active Learning on Graphs: An Error Bound Minimization Approach.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

2011

Generalized Fisher Score for Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the UAI 2011, 2011

Linear Discriminant Dimensionality Reduction.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Joint Feature Selection and Subspace Learning.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2011, 2011

On Trivial Solution and Scale Transfer Problems in Graph Regularized NMF.

[BibT_eX]

[DOI]

Chris H. Q. Ding

Proceedings of the IJCAI 2011, 2011

Correlated multi-label feature selection.

[BibT_eX]

[DOI]

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Towards feature selection in network.

[BibT_eX]

[DOI]

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Learning a Kernel for Multi-Task Clustering.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Collaborative Filtering: Weighted Nonnegative Matrix Factorization Incorporating User and Item Graphs.

[BibT_eX]

[DOI]

Chris H. Q. Ding

Proceedings of the SIAM International Conference on Data Mining, 2010

HTF: a novel feature for general crack detection.

[BibT_eX]

[DOI]

Han Hu

Proceedings of the International Conference on Image Processing, 2010

2009

Local Relevance Weighted Maximum Margin Criterion for Text Classification.

[BibT_eX]

[DOI]

Proceedings of the SIAM International Conference on Data Mining, 2009

Transductive Classification via Dual Regularization.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Co-clustering on manifolds.

[BibT_eX]

[DOI]

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Local Learning Regularized Nonnegative Matrix Factorization.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2009, 2009

Two Dimensional Nonnegative Matrix Factorization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Image Processing, 2009

Multiple Kernel Maximum Margin Criterion.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Image Processing, 2009

Learning the Shared Subspace for Multi-task Clustering and Transductive Transfer Classification.

[BibT_eX]

[DOI]

Proceedings of the ICDM 2009, 2009

Two dimensional Maximum Margin Criterion.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2009

Regular simplex criterion: A novel feature extraction criterion.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2009

Subspace maximum margin clustering.

[BibT_eX]

[DOI]

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

Multiframe Motion Segmentation via Penalized MAP Estimation and Linear Programming.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference, 2009

Neighborhood Preserving Nonnegative Matrix Factorization.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference, 2009

2008

A similarity measure under Log-Euclidean metric for stereo matching.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Belief propagation on Riemannian manifold for stereo matching.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Image Processing, 2008

A novel similarity measure under Riemannian metric for stereo matching.

[BibT_eX]

[DOI]