Multimedia event detection with ℓ2-regularized logistic Gaussian mixture regression
暂无分享,去创建一个
[1] Shoou-I Yu,et al. Multimedia classification and event detection using double fusion , 2014, Multimedia Tools and Applications.
[2] M. Shah,et al. Recognizing 50 human action categories of web videos , 2013, Machine Vision and Applications.
[3] C. Schmid,et al. Dense Trajectories and Motion Boundary Descriptors for Action Recognition , 2013, International Journal of Computer Vision.
[4] Mubarak Shah,et al. UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild , 2012, ArXiv.
[5] Zi Huang,et al. Robust cross-media transfer for visual event detection , 2012, ACM Multimedia.
[6] Jason J. Corso,et al. Action bank: A high-level representation of activity in video , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[7] Aude Billard,et al. Learning Stable Nonlinear Dynamical Systems With Gaussian Mixture Models , 2011, IEEE Transactions on Robotics.
[8] Baba C. Vemuri,et al. Robust Point Set Registration Using Gaussian Mixture Models , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[9] A. Smeaton,et al. TRECVID 2013 -- An Overview of the Goals, Tasks, Data, Evaluation Mechanisms, and Metrics | NIST , 2011 .
[10] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[11] Jen-Hui Chuang,et al. Regularized Background Adaptation: A Novel Learning Rate Control Scheme for Gaussian Mixture Modeling , 2011, IEEE Transactions on Image Processing.
[12] Feiping Nie,et al. Efficient and Robust Feature Selection via Joint ℓ2, 1-Norms Minimization , 2010, NIPS.
[13] Hao Su,et al. Objects as Attributes for Scene Classification , 2010, ECCV Workshops.
[14] Thomas Mensink,et al. Improving the Fisher Kernel for Large-Scale Image Classification , 2010, ECCV.
[15] Koen E. A. van de Sande,et al. Evaluating Color Descriptors for Object and Scene Recognition , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[16] Driss Aboutajdine,et al. Textural feature selection by joint mutual information based on Gaussian mixture model for multispectral image classification , 2010, Pattern Recognit. Lett..
[17] Stéphane Mallat,et al. Solving Inverse Problems With Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity , 2010, IEEE Transactions on Image Processing.
[18] J. Lafferty,et al. High-dimensional Ising model selection using ℓ1-regularized logistic regression , 2010, 1010.0311.
[19] Gavin C. Cawley,et al. On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation , 2010, J. Mach. Learn. Res..
[20] Klaus-Robert Müller,et al. Efficient and Accurate Lp-Norm Multiple Kernel Learning , 2009, NIPS.
[21] Guillermo Sapiro,et al. Online Learning for Matrix Factorization and Sparse Coding , 2009, J. Mach. Learn. Res..
[22] Yihong Gong,et al. Linear spatial pyramid matching using sparse coding for image classification , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[23] Antonio Torralba,et al. Recognizing indoor scenes , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[24] Mehryar Mohri,et al. L2 Regularization for Learning Kernels , 2009, UAI.
[25] Guillermo Sapiro,et al. Online dictionary learning for sparse coding , 2009, ICML '09.
[26] Tom Goldstein,et al. The Split Bregman Method for L1-Regularized Problems , 2009, SIAM J. Imaging Sci..
[27] Shie Mannor,et al. Regularized Policy Iteration , 2008, NIPS.
[28] Dong Xu,et al. Video Event Recognition Using Kernel Methods with Multilevel Temporal Alignment , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[29] Chong-Wah Ngo,et al. Video event detection using motion relativity and visual relatedness , 2008, ACM Multimedia.
[30] Richard G. Baraniuk,et al. Sparse Coding via Thresholding and Local Competition in Neural Circuits , 2008, Neural Computation.
[31] Lei Wang,et al. Feature Selection with Kernel Class Separability , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[32] Nojun Kwak,et al. Principal Component Analysis Based on L1-Norm Maximization , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[33] Mubarak Shah,et al. Action MACH a spatio-temporal Maximum Average Correlation Height filter for action recognition , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[34] Cordelia Schmid,et al. Learning realistic human actions from movies , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[35] Antonio Torralba,et al. LabelMe: A Database and Web-Based Tool for Image Annotation , 2008, International Journal of Computer Vision.
[36] E. Candès,et al. Near-ideal model selection by ℓ1 minimization , 2008, 0801.0345.
[37] Fei-Fei Li,et al. What, where and who? Classifying events by scene and object recognition , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[38] Stephen P. Boyd,et al. An Interior-Point Method for Large-Scale l1-Regularized Logistic Regression , 2007, J. Mach. Learn. Res..
[39] Klas Markström,et al. On the complexity of matrix reduction over finite fields , 2007, Adv. Appl. Math..
[40] Mark W. Schmidt,et al. Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New Approaches , 2007, ECML.
[41] Mee Young Park,et al. L1‐regularization path algorithm for generalized linear models , 2007 .
[42] Senjian An,et al. Fast cross-validation algorithms for least squares support vector machine and kernel ridge regression , 2007, Pattern Recognit..
[43] Milind R. Naphade,et al. Classification of video events using 4-dimensional time-compressed motion features , 2007, CIVR '07.
[44] Jianfeng Gao,et al. Scalable training of L1-regularized log-linear models , 2007, ICML '07.
[45] Weiming Zhang,et al. A Semantic Event Detection Approach for Soccer Video based on Perception Concepts and Finiste State Machines , 2007, Eighth International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS '07).
[46] G. Griffin,et al. Caltech-256 Object Category Dataset , 2007 .
[47] Gunnar Rätsch,et al. Large Scale Multiple Kernel Learning , 2006, J. Mach. Learn. Res..
[48] Changsheng Xu,et al. Live sports event detection based on broadcast video and web-casting text , 2006, MM '06.
[49] Shahram Ebadollahi,et al. Visual Event Detection using Multi-Dimensional Concept Dynamics , 2006, 2006 IEEE International Conference on Multimedia and Expo.
[50] Chris H. Q. Ding,et al. R1-PCA: rotational invariant L1-norm principal component analysis for robust subspace factorization , 2006, ICML.
[51] Noel E. O'Connor,et al. Event detection in field sports video using audio-visual features and a support vector Machine , 2005, IEEE Transactions on Circuits and Systems for Video Technology.
[52] Bin Wang,et al. A probabilistic model for retrospective news event detection , 2005, SIGIR '05.
[53] Lawrence Carin,et al. Sparse multinomial logistic regression: fast algorithms and generalization bounds , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[54] H. Zou,et al. Regularization and variable selection via the elastic net , 2005 .
[55] Chung-Lin Huang,et al. Semantics-based highlight extraction of soccer program using DBN , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..
[56] Lorenzo Rosasco,et al. Model Selection for Regularized Least-Squares Algorithm in Learning Theory , 2005, Found. Comput. Math..
[57] Ryan M. Rifkin,et al. In Defense of One-Vs-All Classification , 2004, J. Mach. Learn. Res..
[58] G. LoweDavid,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004 .
[59] Michael I. Jordan,et al. Multiple kernel learning, conic duality, and the SMO algorithm , 2004, ICML.
[60] A. Ng. Feature selection, L1 vs. L2 regularization, and rotational invariance , 2004, Twenty-first international conference on Machine learning - ICML '04.
[61] Pietro Perona,et al. Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories , 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.
[62] M. Luo,et al. Pyramidwise structuring for soccer highlight extraction , 2003, Fourth International Conference on Information, Communications and Signal Processing, 2003 and the Fourth Pacific Rim Conference on Multimedia. Proceedings of the 2003 Joint.
[63] Alberto Del Bimbo,et al. Semantic annotation of soccer videos: automatic highlights identification , 2003, Comput. Vis. Image Underst..
[64] Ivan Laptev,et al. On Space-Time Interest Points , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[65] James Theiler,et al. Grafting: Fast, Incremental Feature Selection by Gradient Descent in Function Space , 2003, J. Mach. Learn. Res..
[66] Shih-Fu Chang,et al. Event detection in baseball video using superimposed caption recognition , 2002, MULTIMEDIA '02.
[67] Alberto Del Bimbo,et al. Soccer highlights detection and recognition using HMMs , 2002, Proceedings. IEEE International Conference on Multimedia and Expo.
[68] Shih-Fu Chang,et al. Algorithms and system for segmentation and structure analysis in soccer video , 2001, IEEE International Conference on Multimedia and Expo, 2001. ICME 2001..
[69] Gunnar Rätsch,et al. Soft Margins for AdaBoost , 2001, Machine Learning.
[70] Matthew Brand,et al. Discovery and Segmentation of Activities in Video , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[71] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[72] D. Hosmer,et al. Applied Logistic Regression , 1991 .
[73] Geoffrey J. McLachlan,et al. Mixture models : inference and applications to clustering , 1989 .
[74] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[75] Shoou-I Yu,et al. E-LAMP: integration of innovative ideas for multimedia event detection , 2013, Machine Vision and Applications.
[76] David B. Dunson,et al. Nonparametric Bayesian Dictionary Learning for Analysis of Noisy and Incomplete Images , 2012, IEEE Transactions on Image Processing.
[77] Daniel P. W. Ellis,et al. IBM Research and Columbia University TRECVID-2011 Multimedia Event Detection (MED) System , 2011, TRECVID.
[78] Mubarak Shah,et al. Columbia-UCF TRECVID2010 Multimedia Event Detection: Combining Multiple Modalities, Contextual Concepts, and Temporal Matching , 2010, TRECVID.
[79] Alexander G. Hauptmann,et al. MoSIFT: Recognizing Human Actions in Surveillance Videos , 2009 .
[80] Gertjan J. Burghouts,et al. Performance evaluation of local colour invariants , 2009, Comput. Vis. Image Underst..
[81] Naomi Harte,et al. On Parsing Visual Sequences with the Hidden Markov Model , 2009, EURASIP J. Image Video Process..
[82] Douglas A. Reynolds,et al. Gaussian Mixture Models , 2018, Encyclopedia of Biometrics.
[83] Kaare Brandt Petersen,et al. The Matrix Cookbook , 2006 .
[84] Michael I. Jordan,et al. Multi-task feature selection , 2006 .
[85] Jerome H. Friedman,et al. On Bias, Variance, 0/1—Loss, and the Curse-of-Dimensionality , 2004, Data Mining and Knowledge Discovery.
[86] Joshua Goodman,et al. Exponential Priors for Maximum Entropy Models , 2004, NAACL.
[87] Bruce A. Draper,et al. PCA vs. ICA: A Comparison on the FERET Data Set , 2002, JCIS.
[88] Shih-Fu Chang,et al. Algorithms and system for segmentation and structure analysis in soccer video , 2001, IEEE International Conference on Multimedia and Expo, 2001. ICME 2001..
[89] David G. Stork,et al. Pattern Classification (2nd ed.) , 1999 .
[90] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[91] Ronald L. Rivest,et al. Introduction to Algorithms , 1990 .
[92] David G. Stork,et al. Pattern Classification , 1973 .