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Title Title
Date Date
  • Semi-Supervised Classification via Local Spline Regression

    Shiming Xiang, Feiping Nie, and Changshui Zhang , IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) ,  2010
    MATLAB

    Free

  • Multiple View Semi-Supervised Dimensionality Reduction

    Chenping Hou, Changshui Zhang, Yi Wu, Feiping Nie , Pattern Recognition ,  2010
    MATLAB

    Free

  • Efficient and Robust Feature Selection via Joint L21-Norms Minimization

    Feiping Nie, Heng Huang, Xiao Cai, Chris Ding , Advances in Neural Information Processing Systems 23 (NIPS) ,  2010
    MATLAB

    Free

  • Improved MinMax Cut Graph Clustering with Nonnegative Relaxation

    Feiping Nie, Chris Ding, Dijun Luo, Heng Huang , The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) ,  2010
    MATLAB

    Free

  • Semi-supervised Feature Selection Based on Label Propagation and Subset Selection

    Yun Liu, Feiping Nie, Jigang Wu, Lihui Chen , The International Conference on Computer and Information Application (ICCIA) ,  2010
    MATLAB

    Free

  • Interactive Natural Image Segmentation via Spline Regression

    Shiming Xiang, Feiping Nie, Chunxia Zhang and Changshui Zhang , IEEE Transactions on Image Processing (TIP) ,  2009
    MATLAB

    Free

  • Nonlinear Dimensionality Reduction with Local Spline Embedding

    Shiming Xiang, Feiping Nie, Changshui Zhang and Chunxia Zhang , IEEE Transactions on Knowledge and Data Engineering(TKDE) ,  2009
    MATLAB

    Free

  • Semi-Supervised Orthogonal Discriminant Analysis via Label Propagation

    Feiping Nie, Shiming Xiang, Yangqing Jia, Changshui Zhang , . ,  2009
    MATLAB

    Free

  • Extracting the Optimal Dimensionality for Local Tensor Discriminant Analysis

    Feiping Nie, Shiming Xiang, Yangqiu Song, Changshui Zhang , Pattern Recognition (PR) ,  2009
    MATLAB

    Free

  • Spectral Embedded Clustering

    Feiping Nie, Dong Xu, Ivor W.Tsang, Changshui Zhang , The 21st International Joint Conference on Artificial Intelligence (IJCAI) ,  2009
    MATLAB

    Free

  • Ranking with Local Regression and Global Alignment for Cross Media Retrieval

    Yi Yang, Dong Xu, Feiping Nie, Jiebo Luo and Yueting Zhuang , ACM International Conference on Multimedia (ACM MM) ,  2009
    MATLAB

    Free

  • Learning a Mahalanobis distance metric for data clustering and classification

    Shiming Xiang, Feiping Nie, and Changshui Zhang , Pattern Recognition (PR) ,  2008
    MATLAB

    Free

  • Trace Ratio Criterion for Feature Selection

    Feiping Nie, Shiming Xiang, Yangqing Jia, Changshui  Zhang, Shuicheng Yan , The Twenty-Third AAAI Conference on Artificial Intelligence (AAAI) ,  2008
    MATLAB

    Free

  • Optimal Dimensionality Discriminant Analysis and Its Application to Image Recognition

    Feiping Nie, Shiming Xiang, Yangqiu Song, Changshui Zhang , 1st Workshop on Component Analysis Methods for Classification Clustering Modeling and Estimation Problems in Computer Vision (CVPR workshop) ,  2007
    MATLAB

    Free

  • Extracting the Optimal Dimensionality for Discriminant Analysis

    Feiping Nie, Shiming Xiang, Yangqiu Song, Changshui Zhang , The 32nd International Conference on Acoustics Speech and Signal Processing (ICASSP) ,  2007
    MATLAB

    Free

  • Spline Embedding for Nonlinear Dimensionality Reduction

    Shiming Xiang, Feiping Nie, Changshui Zhang and Chunxia Zhang , European Conference on Machine Learning (ECML) ,  2006
    MATLAB

    Free

  • Reinforced Robust Principal Component Pursuit

    Pratik Prabhanjan Brahma, Yiyuan She, Shijie Li , Jiade Li, and Dapeng Wu , IEEE Transactions on Neural Networks and Learning Systems ,  2018
    MATLAB

    Free

  • Two-Dimensional Evolutionary Spectrum Approach to Nonstationary Fading Channel Modeling

    Zhengchuan Chen, Qing Wang, Dapeng Oliver Wu, and Pingyi Fan , IEEE Transactions on Vehicular Technology ,  2016
    MATLAB

    Free

  • Joint Evolutionary Spectrum and Autoregressive-Based Approach to Modeling Non-stationary Flat Fading Channels

    Qing Wang, Dapeng Wu, and Pingyi Fan , Wireless Communications and Mobile Computing ,  2014
    MATLAB

    Free

  • Effective capacity of a correlated Nakagami‐m fading channel

    Qing Wang, Dapeng Wu, and Pingyi Fan , Wireless Communications and Mobile Computing ,  2012
    MATLAB

    Free

  • Effective capacity of a correlated Rayleigh fading channel

    Qing Wang, Dapeng Wu, and Pingyi Fan , Wireless Communications and Mobile Computing ,  2011
    MATLAB

    Free

  • On Optimal Power Control for Delay-Constrained Communication Over Fading Channels

    Xiaochen Li, Xihua Dong, and Dapeng Wu , IEEE Transactions on Information Theory ,  2011
    MATLAB

    Free

  • Effective capacity: a wireless link model for support of quality of service

    Dapeng Wu, and R. Neg , IEEE Transactions on Wireless Communications ,  2003
    C

    Free

  • Modularity-Based Image Segmentation

    Shijie Li, and Dapeng Oliver Wu , IEEE Transactions on Circuits and Systems for Video Technology ,  2015
    MATLAB

    Free

  • Ripplet transform type II transform for feature extraction

    J. Xu, and D. Wu , IET Image Processing ,  2012
    MATLAB

    Free

  • Ripplet: A new transform for image processing

    Jun Xu, Lei Yang, and Dapeng Wu , Journal of Visual Communication and Image Representation ,  2010
    MATLAB

    Free

  • Image denoising by bounded block matching and 3D filtering

    Qian Chen, and Dapeng Wu , Signal Processing ,  2010
    MATLAB

    Free

  • Self-Organizing-Queue Based Clustering

    Baohua Sun, and Dapeng Wu , IEEE Signal Processing Letters ,  2012
    MATLAB

    Free

  • Large-Scale Adaptive Semi-Supervised Learning via Unified Inductive and Transductive Model

    De Wang, Feiping Nie, Heng Huang , The 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) ,  2014
    MATLAB

    Free

  • Efficient Image Classification via Multiple Rank Regression

    Chenping Hou, Feiping Nie, Dongyun Yi, Yi Wu , (TIP) ,  2013
    MATLAB

    Free

  • Robust Manifold Non-Negative Matrix Factorization

    Jin Huang, Feiping Nie, Heng Huang, Chris Ding , ACM Transactions on Knowledge Discovery from Data (TKDD) ,  2013
    MATLAB

    Free

  • Joint Schatten p-Norm and lp-Norm Robust Matrix Completion for Missing Value Recovery

    Feiping Nie, Hua Wang, Heng Huang, Chris Ding , Knowledge and Information Systems (KAIS) ,  2013
    MATLAB

    Free

  • Efficient Semi-supervised Feature Selection with Noise Insensitive Trace Ratio Criterion

    Yun Liu, Feiping Nie*, Jigang Wu, Lihui Chen , Neurocomputing ,  2013
    MATLAB

    Free

  • Spectral Rotation vs K-means in Spectral Clustering

    Jin Huang, Feiping Nie, Heng Huang , The Twenty-Seventh AAAI Conference on Artificial Intelligence (AAAI) ,  2013
    MATLAB

    Free

  • New Graph Structured Sparsity Model for Multi-Label Image Annotations

    Xiao Cai, Feiping Nie, Weidong Cai, Heng Huang , International Conference on Computer Vision (ICCV) ,  2013
    MATLAB

    Free

  • Web & Personal Image Annotation by Mining Label Correlation with Relaxed Visual Graph Embedding

    Yi Yang, Fei Wu, Feiping Nie, Heng Tao Shen, Yueting Zhuang, Alexander G. Hauptmann , IEEE Transactions on Image Processing ,  2012
    MATLAB

    Free

  • Discriminative Least Squares Regression for Multiclass Classification and Feature Selection

    Shiming Xiang, Feiping Nie, Gaofeng Meng, Chunhong Pan, Changshui Zhang , IEEE Transactions on Neural Networks and Learning Systems (TNNLS) ,  2012
    MATLAB

    Free

  • Semi-supervised Dimension Reduction using Trace Ratio Criterion

    Yi Huang, Dong Xu, Feiping Nie , IEEE Transactions on Neural Networks and Learning Systems (TNNLS) ,  2012
    MATLAB

    Free

  • Initialization Independent Clustering with Actively Self-Training Method

    Feiping Nie, Dong Xu, Xuelong Li , IEEE Transactions on Systems, Man and Cybernetics, Part B (TSMCB) ,  2012
    MATLAB

    Free

  • Discriminating Joint Feature Analysis for Multimedia Content Understanding

    Zhigang Ma, Feiping Nie, Yi Yang, Jasper Uijlings, Nicu Sebe, Alexander G. Hauptmann , IEEE Transactions on Multimedia ,  2012
    MATLAB

    Free

  • Web Image Annotation via Subspace-Sparsity Collaborated Feature Selection

    Zhigang Ma, Feiping Nie, Yi Yang, Jasper Uijlings, Nicu Sebe , IEEE Transactions on Multimedia ,  2012
    MATLAB

    Free

  • From Phenotype to Genotype: An Association Study of Candidate Phenotypic Markers to Alzheimer’s Disease Relevant SNPs

    Hua Wang, Feiping Nie, Heng Huang, Jingwen Yan, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen, , Bioinformatics ,  2012
    MATLAB

    Free

  • Fuzzy-Clustering-Based Decision Tree Approach for Large Population Speaker Identification

    Yakun Hu, Dapeng Wu, and Antonio Nucci , IEEE Transactions on Audio, Speech, and Language Processing ,  2013
    MATLAB

    Free

  • Pitch‐based gender identification with two‐stage classification

    Yakun Hu, Dapeng Wu, and Antonio Nucci , Security and Communication Networks ,  2012
    MATLAB

    Free

  • Joint Association Graph Screening and Decomposition for Large-Scale Linear Dynamical Systems

    Yiyuan She, Yuejia He, Shijie Li, and Dapeng Wu , IEEE Transactions on Signal Processing ,  2015
    MATLAB

    Free

  • Learning Topology and Dynamics of Large Recurrent Neural Networks

    Yiyuan She, Yuejia He, and Dapeng Wu , IEEE Transactions on Signal Processing ,  2014
    MATLAB

    Free

  • Group Iterative Spectrum Thresholding for Super-Resolution Sparse Spectral Selection

    Yiyuan She, Jiangping Wang, Huanghuang Li, and Dapeng Wu , IEEE Transactions on Signal Processing ,  2013
    MATLAB

    Free

  • Distributed Signal Processing via Chebyshev Polynomial Approximation

    David I Shuman, Pierre Vandergheynst, Daniel Kressner, and Pascal Frossard , IEEE Transactions on Signal and Information Processing over Networks ,  2018
    MATLAB

    Free

  • Global and Local Uncertainty Principles for Signals on Graphs

    Nathanael Perraudin, Benjamin Ricaud, David I Shuman, and Pierre Vandergheynst , APSIPA Transactions on Signal and Information Processing ,  2018
    MATLAB

    Free

  • A Multiscale Pyramid Transform for Graph Signals

    David I Shuman, Mohammad Javad Faraji, and Pierre Vandergheynst , IEEE Transactions on Signal Processing ,  2016
    MATLAB

    Free

  • Spectrum-Adapted Tight Graph Wavelet and Vertex-Frequency Frames

    David I Shuman, Christoph Wiesmeyr, Nicki Holighaus, and Pierre Vandergheynst , IEEE Transactions on Signal Processing ,  2015
    MATLAB

    Free

  • Learning Parametric Dictionaries for Signals on Graphs

    Dorina Thanou, David I Shuman, and Pascal Frossard , IEEE Transactions on Signal Processing ,  2014
    MATLAB

    Free

  • Multi-User Diversity vs. Accurate Channel State Information in MIMO Downlink Channels

    Niranjay Ravindran, and Nihar Jindal , IEEE Transactions on Wireless Communications ,  2012
    MATLAB

    Free

  • Sum Power Iterative Water-filling for Multi-antenna Gaussian Broadcast Channels

    N. Jindal, Wonjong Rhee, S. Vishwanath, S.A. Jafar, and A. Goldsmith , IEEE Transactions on Information Theory ,  2005
    MATLAB

    Free

  • Mutual Information of IID Complex Gaussian Signals on Block Rayleigh-Faded Channels

    Fredrik Rusek, Angel Lozano, and Nihar Jindal , IEEE Transactions on Information Theory ,  2012
    MATLAB

    Free

  • Symmetric Capacity of MIMO Downlink Channels

    Juyul Lee, and Nihar Jindal , 2006 IEEE International Symposium on Information Theory ,  2006
    MATLAB

    Free

  • A Conic Quadratic Programming Approach to Physical Layer Multicasting for Large-Scale Antenna Arrays

    Le-Nam Tran, Muhammad Fainan Hanif, and Markku Juntti , IEEE Signal Processing Letters ,  2014
    MATLAB

    Free

  • Weighted Sum Rate Maximization for MIMO Broadcast Channels Using Dirty Paper Coding and Zero-forcing Methods

    Le-Nam Tran, Markku Juntti, Mats Bengtsson, and Bjorn Ottersten , IEEE Transactions on Communications ,  2013
    MATLAB

    Free

  • Beamformer Designs for MISO Broadcast Channels with Zero-Forcing Dirty Paper Coding

    Le-Nam Tran, Markku Juntti, Mats Bengtsson, and Bjorn Ottersten , IEEE Transactions on Wireless Communications ,  2013
    MATLAB

    Free

  • Fast Converging Algorithm for Weighted Sum Rate Maximization in Multicell MISO Downlink

    Le-Nam Tran, Muhammad Fainan Hanif, Antti Tolli, and Markku Juntti , IEEE Signal Processing Letters ,  2012
    MATLAB

    Free

  • Unique Word Based Frequency Domain Equalization with Noise Prediction

    Le-nam Tran, and Een-kee Hong , IEEE Communications Letters ,  2008
    MATLAB

    Free

  • Two-stage Hybrid Decision Feedback Equalization for DS-CDMA Systems

    Le-Nam Tran, Een-Kee Hong, and Huaping Liu , IEEE Transactions on Wireless Communications ,  2008
    MATLAB

    Free

  • Identifying Disease Sensitive and Quantitative Trait Relevant Biomarkers from Multi-Dimensional Heterogeneous Imaging Genetics Data via Sparse Multi-Modal Multi-Task Learning

    Hua Wang, Feiping Nie, Heng Huang, Shannon L. Risacher, Andrew J. Saykin, Li Shen , Bioinformatics ,  2012
    MATLAB

    Free

  • Identifying Quantitative Trait Loci via Group-Sparse Multi-Task Regression and Feature Selection: An Imaging Genetics Study of the ADNI Cohort

    Hua Wang, Feiping Nie, Heng Huang, Sungeun Kim, Kwangsik Nho, Shannon Risacher, Andrew J Saykin, Li Shen, ADNI , Bioinformatics ,  2012
    MATLAB

    Free

  • Orthogonal vs. Uncorrelated Least Squares Discriminant Analysis for Feature Extraction

    Feiping Nie, Shiming Xiang, Yun Liu, Chenping Hou, Changshui Zhang , Pattern Recognition Letters ,  2012
    MATLAB

    Free

  • Low-Rank Matrix Recovery via Efficient Schatten p-Norm Minimization

    Feiping Nie, Heng Huang, Chris Ding , The 26th AAAI Conference on Artificial Intelligence (AAAI) ,  2012
    MATLAB

    Free

  • Robust Matrix Completion via Joint Schatten p-Norm and Lp-Norm Minimization

    Feiping Nie, Hua Wang, Xiao Cai, Heng Huang, Chris Ding , IEEE International Conference on Data Mining (ICDM) ,  2012
    MATLAB

    Free

  • Spectral Embedded Clustering: A  Framework for In-Sample and Out-of-Sample Spectral Clustering

    Feiping Nie, Zinan Zeng, Ivor Tsang, Dong Xu, Changshui Zhang , IEEE Transactions on Neural Networks (TNN) ,  2011
    MATLAB

    Free

  • Cauchy Graph Embedding

    Dijun Luo, Chris Ding, Feiping Nie, Heng Huang , The 28th International Conference on Machine Learning (ICML) ,  2011
    MATLAB

    Free

  • Robust Principal Component Analysis with Non-Greedy L1-Norm Maximization

    Feiping Nie, Heng Huang, Chris Ding, Dijun Luo, Hua Wang , The 22nd International Joint Conference on Artificial Intelligence (IJCAI) ,  2011
    MATLAB

    Free

  • Feature selection via joint embedding learning and sparse regression

    Chenping Hou, Feiping Nie, Dongyun Yi, Yi Wu , The 22nd International Joint Conference on Artificial Intelligence (IJCAI) ,  2011
    MATLAB

    Free

  • Nonnegative Spectral Clustering with Discriminative Regularization

    Yi Yang, Heng Tao Shen, Feiping Nie, Rongrong Ji, Xiaofang Zhou , The 25th AAAI Conference on Artificial Intelligence (AAAI) ,  2011
    MATLAB

    Free

  • Unsupervised and Semi-supervised Learning via L1-norm Graph

    Feiping Nie, Hua Wang, Heng Huang, Chris Ding , The 13th International Conference on Computer Vision (ICCV) ,  2011
    MATLAB

    Free

  • Exploiting the Entire Feature Space with Sparsity for Automatic Image Annotation

    Zhigang Ma, Yi Yang, Feiping Nie, Jasper Uijlings, Nicu Sebe , ACM International Conference on Multimedia (ACM MM) ,  2011
    MATLAB

    Free

  • Multi-Class L2,1-Norms Support Vector Machine

    Xiao Cai, Feiping Nie, Heng Huang, and Chris Ding , IEEE International Conference on Data Mining (ICDM) ,  2011
    MATLAB

    Free

  • Flexible Manifold Embedding: A Framework for Semi-supervised and Unsupervised Dimension Reduction

    Feiping Nie, Dong Xu, Ivor W. Tsang, Changshui Zhang , IEEE Transactions on Image Processing (TIP) ,  2010
    MATLAB

    Free

  • A General Kernelization Framework for Learning Algorithms Based on Kernel PCA

    Changshui Zhang, Feiping Nie*, Shiming Xiang , Neurocomputing ,  2010
    MATLAB

    Free

  • A General Graph-Based Semi-Supervised Learning with Novel Class Discovery

    Feiping Nie, Shiming Xiang, Yun Liu, Changshui Zhang , Neural Computing Applications (NCA) ,  2010
    MATLAB

    Free

  • Trace Ratio Problem Revisited

    Yangqing Jia, Feiping Nie, Changshui Zhang , IEEE Transactions on Neural Networks (TNN) ,  2009
    MATLAB

    Free

  • Learning an Orthogonal And Smooth Subspace for Image Classification

    Chenping Hou, Feiping Nie, Changshui Zhang and Yi Wu , IEEE Signal Processing Letters (SPL) ,  2009
    MATLAB

    Free

  • Orthogonal Locality Minimizing Globality Maximizing Projections for Feature Extraction

    Feiping Nie, Shiming Xiang, Yangqiu Song and Changshui Zhang , Optical Engineering (OE) ,  2009
    MATLAB

    Free

  • Efficient Multi-class Unlabeled Constrained Semi-supervised SVM

    Mingjie Qian, Feiping Nie, Changshui Zhang , The 18th ACM Conference on Information and Knowledge Management (CIKM) ,  2009
    MATLAB

    Free

  • Probabilistic labeled Semi-supervised SVM

    Mingjie Qian, Feiping Nie, Changshui Zhang , Workshop on Optimization Based Methods for Emerging Data Mining Problems in conjunction with IEEE International Conference on Data Mining (ICDM Workshop) ,  2009
    MATLAB

    Free

  • Neighborhood MinMax Projections

    Feiping Nie, Shiming Xiang, Changshui Zhang , The Twentieth International Joint Conference on Artificial Intelligence (IJCAI) ,  2007
    MATLAB

    Free

  • Where are the Blobs: Counting by Localization with Point Supervision

    Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vázquez, Mark W. Schmidt , European Conference on Computer Vision ,  2018
    PyTorch

    Free

  • Online Learning Rate Adaptation with Hypergradient Descent

    Atilim Gunes Baydin, Robert Cornish, David Martinez Rubio, Mark Schmidt, Frank Wood , International Conference on Learning Representations ,  2018
    PyTorch

    Free

  • Let’s Make Block Coordinate Descent Go Fast: Faster Greedy Rules, Message-Passing, Active-Set Complexity, and Superlinear Convergence

    Julie Nutini, Issam Laradji, Mark Schmidt , arXiv: Optimization and Control ,  2017
    Python

    Free

  • Model-Independent Online Learning for Influence Maximization

    Sharan Vaswani, Branislav Kveton, Zheng Wen, Mohammad Ghavamzadeh, Laks V. S. Lakshmanan, and Mark Schmidt , International Conference on Machine Learning ,  2017
    MATLAB

    Free

  • Convergence Rates for Greedy Kaczmarz Algorithms, and Faster Randomized Kaczmarz Rules Using the Orthogonality Graph

    Julie Nutini, Behrooz Sepehry, Issam H. Laradji, Mark W. Schmidt, Hoyt A. Koepke , Uncertainty in Artificial Intelligence ,  2016
    Python

    Free

  • Coordinate descent converges faster with the Gauss-Southwell rule than random selection

    Julie Nutini, Mark W. Schmidt, Issam H. Laradji, Michael P. Friedlander, Hoyt A. Koepke , International Conference on Machine Learning ,  2015
    Python

    Free

  • Stop Wasting My Gradients: Practical SVRG

    Reza Babanezhad, Mohamed Osama Ahmed, Alim Virani, Mark W. Schmidt, Jakub Konecný , Neural Information Processing Systems ,  2015
    MATLAB

    Free

  • Non-Uniform Stochastic Average Gradient Method for Training Conditional Random Fields

    Mark W. Schmidt, Reza Babanezhad, Mohamed Osama Ahmed, Aaron Defazio, Ann Clifton , International Conference on Artificial Intelligence and Statistics ,  2015
    MATLAB

    Free

  • Minimizing Finite Sums with the Stochastic Average Gradient

    Mark W. Schmidt, Nicolas Le Roux, Francis R. Bach , Mathematical Programming ,  2017
    MATLAB

    Free

  • Hybrid Deterministic-Stochastic Methods for Data Fitting

    Michael P. Friedlander, Mark W. Schmidt , SIAM Journal on Scientific Computing ,  2012
    MATLAB

    Free

  • On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models

    David Buchman, Mark W. Schmidt, Shakir Mohamed, David Poole, Nando de Freitas , International Conference on Artificial Intelligence and Statistics ,  2012
    MATLAB

    Free

  • Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization

    Mark W. Schmidt, Nicolas Le Roux, Francis R. Bach , Neural Information Processing Systems ,  2011
    MATLAB

    Free

  • Causal Learning without DAGs

    David Duvenaud, Daniel Eaton, Kevin Murphy, Mark Schmidt , Neural Information Processing Systems ,  2008
    MATLAB

    Free

  • Optimizing Costly Functions with Simple Constraints: A Limited-Memory Projected Quasi-Newton Algorithm

    Mark W. Schmidt, Ewout van den Berg, Michael P. Friedlander, Kevin P. Murphy , International Conference on Artificial Intelligence and Statistics ,  2009
    MATLAB

    Free

  • Modeling Discrete Interventional Data using Directed Cyclic Graphical Models

    Mark W. Schmidt, Kevin P. Murphy , Uncertainty in Artificial Intelligence ,  2009
    MATLAB

    Free

  • Structure Learning in Random Fields for Heart Motion Abnormality Detection

    Mark W. Schmidt, Kevin P. Murphy, Glenn Fung, Rómer Rosales , Computer Vision and Pattern Recognition ,  2008
    MATLAB

    Free

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