caicai's Top Recommendations

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	Rapid Object Detection using a Boosted Cascade of Simple Features [My Copy] Computer Vision and Pattern Recognition, IEEE Computer Society Conference on, Vol. 1 (2001), pp. 511-I-518 vol.1. by Paul Viola, Michael Jones posted by 23 people Tracking Methods emailhy gavin1332 egozi Liuftvafas baeuml eindermu tianqi micha137 mzabidi Product Images sdvillal zoop guilhermelazzari sjgaller quam hayko assad79 matumio bbabenko Jaldert zeppe miyaki
	One-Shot Learning of Object Categories [My Copy] Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 28, No. 4. (2006), pp. 594-611. by Li Fei-Fei, R. Fergus, P. Perona posted by 7 people jmarkow apcoates liefengbo autrusseau-f drmabuse zeppe dcoates
	Binary Partition Trees for Object Detection [My Copy] Image Processing, IEEE Transactions on In Image Processing, IEEE Transactions on, Vol. 17, No. 11. (2008), pp. 2201-2216. by V. Vilaplana, F. Marques, P. Salembier posted by 5 people pantherseu joelrosa zeppe tianqi fujiyoshi-masaaki
	Discovering objects and their location in images [My Copy] Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference on, Vol. 1 (2005), pp. 370-377 Vol. 1. by J. Sivic, B. C. Russell, A. A. Efros, A. Zisserman, W. T. Freeman posted by 9 people bsilverthorn claudiamichelle egozi pcarbo iansimon zeppe cwr tino telnet2
	Pictorial Structures for Object Recognition [My Copy] Int. J. Comput. Vision, Vol. 61, No. 1. (1 January 2005), pp. 55-79. by Pedro F. Felzenszwalb, Daniel P. Huttenlocher posted by 18 people alexander_bauer CelineHudelot jzujovic micha137 pwais egozi SamueleSalti weiweiguo jmmartinez mat4sajphd jekky hkim zeppe CMU-HCII Blog_and_Wiki_Research automatic_summarization ASR thorgal
	Normalized cuts and image segmentation [My Copy] Pattern Analysis and Machine Intelligence, IEEE Transactions on In Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 22, No. 8. (06 August 2002), pp. 888-905. by Jianbo Shi, J. Malik posted by 17 people emailhy thefillm Shibby shrikondra thsant mthomure viditjain ulasziyan lanmuzi rv101 swachsmu zeppe video_retrieval ooi johnkork iansimon egozi
	Object Detection Combining Recognition and Segmentation [My Copy] Computer Vision – ACCV 2007 (2007), pp. 189-199. by Liming Wang, Jianbo Shi, Gang Song, I-Fan Shen posted by 3 people alexander_bauer tianqi egozi
	Fast Sparse Gaussian Process Methods: The Informative Vector Machine [My Copy] In NIPS (2002), pp. 609-616. by Neil D. Lawrence, Matthias Seeger, Ralf Herbrich edited by Suzanna Becker, Sebastian Thrun, Klaus Obermayer, Suzanna Becker, Sebastian Thrun, Klaus Obermayer posted by 1 person liefengbo
	On the convergence of the coordinate descent method for convex differentiable minimization [My Copy] Journal of Optimization Theory and Applications, Vol. 72, No. 1. (1 January 1992), pp. 7-35. by Z. Q. Luo, P. Tseng posted by 1 person liefengbo
	Kernel Logistic Regression and the Import Vector Machine [My Copy] In NIPS (2001), pp. 1081-1088. by Ji Zhu, Trevor Hastie edited by Thomas G. Dietterich, Suzanna Becker, Zoubin Ghahramani, Thomas G. Dietterich, Suzanna Becker, Zoubin Ghahramani posted by 1 person liefengbo
	Video Google: A Text Retrieval Approach to Object Matching in Videos [My Copy] In ICCV (2003), pp. 1470-1477. by Josef Sivic, Andrew Zisserman posted by 1 person liefengbo
	Semigroup Kernels on Finite Sets [My Copy] In NIPS (2004) by Marco Cuturi, Jean P. Vert posted by 1 person liefengbo
	A Kullback-Leibler Divergence Based Kernel for SVM Classification in Multimedia Applications [My Copy] In NIPS (2003) by Pedro J. Moreno, Purdy Ho, Nuno Vasconcelos edited by Sebastian Thrun, Lawrence K. Saul, Bernhard Schölkopf, Sebastian Thrun, Lawrence K. Saul, Bernhard Schölkopf posted by 1 person liefengbo
	Algebraic Set Kernels with Application to Inference Over Local Image Representations [My Copy] In NIPS (2004) by Amnon Shashua, Tamir Hazan posted by 1 person liefengbo
	Kernels on Attributed Pointsets with Applications [My Copy] In NIPS (2007) by Mehul Parsana, Sourangshu Bhattacharya, Chiru Bhattacharyya, K. R. Ramakrishnan edited by John C. Platt, Daphne Koller, Yoram Singer, et al.Sam T. Roweis, John C. Platt, Daphne Koller, Yoram Singer, Sam T. Roweis posted by 1 person liefengbo
	Iterative Kernel Principal Component Analysis for Image Modeling [My Copy] IEEE Trans. Pattern Anal. Mach. Intell., Vol. 27, No. 9. (2005), pp. 1351-1366. by Kwang I. Kim, Matthias O. Franz, Bernhard Schölkopf posted by 1 person liefengbo
	Multiclass Object Recognition with Sparse, Localized Features [My Copy] In CVPR (1) (2006), pp. 11-18. by Jim Mutch, David G. Lowe posted by 2 people jzujovic liefengbo
	Nonlinear Component Analysis as a Kernel Eigenvalue Problem [My Copy] Neural Computation, Vol. 10, No. 5. (1998), pp. 1299-1319. by Bernhard Schölkopf, Alex J. Smola, Klaus R. Müller posted by 1 person liefengbo
	Using the Nyström Method to Speed Up Kernel Machines [My Copy] In NIPS (2000), pp. 682-688. by Christopher K. I. Williams, Matthias Seeger edited by Todd K. Leen, Thomas G. Dietterich, Volker Tresp, Todd K. Leen, Thomas G. Dietterich, Volker Tresp posted by 1 person liefengbo
	Image Retrieval and Classification Using Local Distance Functions [My Copy] In NIPS (2006), pp. 417-424. by Andrea Frome, Yoram Singer, Jitendra Malik edited by Bernhard Schölkopf, John C. Platt, Thomas Hoffman, Bernhard Schölkopf, John C. Platt, Thomas Hoffman posted by 1 person liefengbo
	LIBLINEAR: A Library for Large Linear Classification [My Copy] Journal of Machine Learning Research, Vol. 9 (August 2008), pp. 1871-1874. by Rong-En Fan, Kai-Wei Chang, Cho-Jui Hsieh, Xiang-Rui Wang, Chih-Jen Lin posted by 1 person liefengbo
	Deep Learning with Kernel Regularization for Visual Recognition [My Copy] In NIPS (2008), pp. 1889-1896. by Kai Yu, Wei Xu, Yihong Gong edited by Daphne Koller, Dale Schuurmans, Yoshua Bengio, et al.Léon Bottou, Daphne Koller, Dale Schuurmans, Yoshua Bengio, Léon Bottou posted by 1 person liefengbo
	Similarity Search in High Dimensions via Hashing [My Copy] In VLDB (1999), pp. 518-529. by Aristides Gionis, Piotr Indyk, Rajeev Motwani edited by Malcolm P. Atkinson, Maria E. Orlowska, Patrick Valduriez, et al.Stanley B. Zdonik, Michael L. Brodie, Malcolm P. Atkinson, Maria E. Orlowska, Patrick Valduriez, Stanley B. Zdonik, Michael L. Brodie posted by 1 person liefengbo
	Fast Discriminative Visual Codebooks using Randomized Clustering Forests [My Copy] In NIPS (2006), pp. 985-992. by Frank Moosmann, Bill Triggs, Frédéric Jurie edited by Bernhard Schölkopf, John C. Platt, Thomas Hoffman, Bernhard Schölkopf, John C. Platt, Thomas Hoffman posted by 1 person liefengbo
	Recognition with Local Features: the Kernel Recipe [My Copy] In ICCV (2003), pp. 257-264. by Christian Wallraven, Barbara Caputo, Arnulf B. A. Graf posted by 2 people weiweiguo liefengbo
	Learning over Sets using Kernel Principal Angles [My Copy] Journal of Machine Learning Research, Vol. 4 (2003), pp. 913-931. by Lior Wolf, Amnon Shashua posted by 1 person liefengbo
	Kernel Codebooks for Scene Categorization [My Copy] In ECCV (3), Vol. 5304 (2008), pp. 696-709. by Jan van Gemert, Jan M. Geusebroek, Cor J. Veenman, Arnold W. M. Smeulders edited by David A. Forsyth, Philip H. S. Torr, Andrew Zisserman, David A. Forsyth, Philip H. S. Torr, Andrew Zisserman posted by 1 person liefengbo
	A Kernel Between Sets of Vectors [My Copy] In ICML (2003), pp. 361-368. by Risi I. Kondor, Tony Jebara edited by Tom Fawcett, Nina Mishra, Tom Fawcett, Nina Mishra posted by 1 person liefengbo
	Mercer Kernels for Object Recognition with Local Features [My Copy] In CVPR (2) (2005), pp. 223-229. by Siwei Lyu posted by 1 person liefengbo
	Multi-Instance Kernels [My Copy] In ICML (2002), pp. 179-186. by Thomas Gärtner, Peter A. Flach, Adam Kowalczyk, Alex J. Smola edited by Claude Sammut, Achim G. Hoffmann, Claude Sammut, Achim G. Hoffmann posted by 1 person liefengbo
	Weighted Sums of Random Kitchen Sinks: Replacing minimization with randomization in learning [My Copy] In NIPS (2008), pp. 1313-1320. by Ali Rahimi, Benjamin Recht edited by Daphne Koller, Dale Schuurmans, Yoshua Bengio, et al.Léon Bottou, Daphne Koller, Dale Schuurmans, Yoshua Bengio, Léon Bottou posted by 2 people idlebrain liefengbo
	Random Features for Large-Scale Kernel Machines [My Copy] In NIPS (2007) by Ali Rahimi, Benjamin Recht edited by John C. Platt, Daphne Koller, Yoram Singer, et al.Sam T. Roweis, John C. Platt, Daphne Koller, Yoram Singer, Sam T. Roweis posted by 1 person liefengbo
	Discriminative Fields for Modeling Spatial Dependencies in Natural Images [My Copy] In NIPS (2003) by Sanjiv Kumar, Martial Hebert edited by Sebastian Thrun, Lawrence K. Saul, Bernhard Schölkopf, Sebastian Thrun, Lawrence K. Saul, Bernhard Schölkopf posted by 1 person liefengbo
	Learning CRFs Using Graph Cuts [My Copy] In ECCV (2), Vol. 5303 (2008), pp. 582-595. by Martin Szummer, Pushmeet Kohli, Derek Hoiem edited by David A. Forsyth, Philip H. S. Torr, Andrew Zisserman, David A. Forsyth, Philip H. S. Torr, Andrew Zisserman posted by 1 person liefengbo
	Efficiently matching sets of features with random histograms [My Copy] In MM '08: Proceeding of the 16th ACM international conference on Multimedia (2008), pp. 179-188. by Wei Dong, Zhe Wang, Moses Charikar, Kai Li posted by 3 people liefengbo eddymier mamadoudiao
	In defense of Nearest-Neighbor based image classification [My Copy] Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on In Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on (05 August 2008), pp. 1-8. by O. Boiman, E. Shechtman, M. Irani posted by 3 people jeffrey0930 espriggs liefengbo
	Beyond sliding windows: Object localization by efficient subwindow search [My Copy] Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on In Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on (2008), pp. 1-8. by C. H. Lampert, M. B. Blaschko, T. Hofmann posted by 8 people haiyeong weiweiguo doubleshow ntrinh bamberg friedel liefengbo kenji
	Comparison of Approximate Methods for Handling Hyperparameters [My Copy] Neural Comp., Vol. 11, No. 5. (1 July 1999), pp. 1035-1068. by David J. Mackay posted by 1 person liefengbo
	Approximations for Binary Gaussian Process Classification [My Copy] Journal of Machine Learning Research, Vol. 9 (October 2008), pp. 2035-2078. by Hannes Nickisch, Carl E. Rasmussen posted by 1 person liefengbo
	Learning to Localize Objects with Structured Output Regression [My Copy] In ECCV (1), Vol. 5302 (2008), pp. 2-15. by Matthew B. Blaschko, Christoph H. Lampert edited by David A. Forsyth, Philip H. S. Torr, Andrew Zisserman, David A. Forsyth, Philip H. S. Torr, Andrew Zisserman posted by 5 people e120265 varung doubleshow weiweiguo liefengbo
	Dependency Networks for Inference, Collaborative Filtering, and Data Visualization [My Copy] Journal of Machine Learning Research, Vol. 1 (October 2000), pp. 49-75. by David Heckerman, David M. Chickering, Christopher Meek, Robert Rounthwaite, Carl Kadie posted by 1 person liefengbo
	Background and foreground modeling using nonparametric kernel density estimation for visual surveillance [My Copy] Proceedings of the IEEE In Proceedings of the IEEE, Vol. 90, No. 7. (2002), pp. 1151-1163. by A. Elgammal, R. Duraiswami, D. Harwood, L. S. Davis posted by 2 people arseny liefengbo
	High-Dimensional Graphical Model Selection Using \$\ell_1\$-Regularized Logistic Regression [My Copy] In NIPS (2006), pp. 1465-1472. by Martin J. Wainwright, Pradeep Ravikumar, John D. Lafferty edited by Bernhard Schölkopf, John C. Platt, Thomas Hoffman, Bernhard Schölkopf, John C. Platt, Thomas Hoffman posted by 1 person liefengbo
	Learning GMRF Structures for Spatial Priors [My Copy] Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on In Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on (2007), pp. 1-6. by Lie Gu, E. P. Xing, T. Kanade posted by 1 person liefengbo
	Conditional Visual Tracking in Kernel Space [My Copy] In NIPS (2005) by Cristian Sminchisescu, Atul Kanaujia, Zhiguo Li, Dimitris N. Metaxas posted by 1 person liefengbo
	Gaussian process classification for segmenting and annotating sequences [My Copy] In ICML '04: Proceedings of the twenty-first international conference on Machine learning (2004) by Yasemin Altun, Thomas Hofmann, Alexander J. Smola posted by 3 people pjcite liefengbo vlachmore
	Topologically-constrained latent variable models [My Copy] In ICML '08: Proceedings of the 25th international conference on Machine learning, Vol. 307 (2008), pp. 1080-1087. by Raquel Urtasun, David J. Fleet, Andreas Geiger, Jovan Popović, Trevor J. Darrell, Neil D. Lawrence posted by 2 people tfx liefengbo
	Multiple kernel learning, conic duality, and the SMO algorithm [My Copy] In ICML, Vol. 69 (2004) by Francis R. Bach, Gert R. G. Lanckriet, Michael I. Jordan edited by Carla E. Brodley, Carla E. Brodley posted by 2 people inayatkh liefengbo
	Adaptive Scaling for Feature Selection in SVMs [My Copy] In NIPS (2002), pp. 553-560. by Yves Grandvalet, Stéphane Canu edited by Suzanna Becker, Sebastian Thrun, Klaus Obermayer, Suzanna Becker, Sebastian Thrun, Klaus Obermayer posted by 1 person liefengbo
	Learning realistic human actions from movies [My Copy] Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on In Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on (2008), pp. 1-8. by I. Laptev, M. Marszalek, C. Schmid, B. Rozenfeld posted by 2 people bamberg liefengbo
	Trust Region Newton Method for Logistic Regression [My Copy] Journal of Machine Learning Research, Vol. 9 (April 2008), pp. 627-650. by Chih-Jen Lin, Ruby C. Weng, Sathiya S. Keerthi posted by 1 person liefengbo
	Hidden Markov Support Vector Machines [My Copy] In ICML (2003), pp. 3-10. by Yasemin Altun, Ioannis Tsochantaridis, Thomas Hofmann edited by Tom Fawcett, Nina Mishra, Tom Fawcett, Nina Mishra posted by 2 people kabus liefengbo
	Training structural svms with kernels using sampled cuts [My Copy] In KDD '08: Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining (2008), pp. 794-802. by Chun, Thorsten Joachims posted by 2 people eddymier liefengbo
	Ridge Regression Learning Algorithm in Dual Variables [My Copy] In ICML (1998), pp. 515-521. by Craig Saunders, Alexander Gammerman, Volodya Vovk edited by Jude W. Shavlik, Jude W. Shavlik posted by 1 person liefengbo
	Kernel Conjugate Gradient for Fast Kernel Machines [My Copy] In IJCAI (2007), pp. 1017-1022. by Nathan D. Ratliff, Andrew J. Bagnell edited by Manuela M. Veloso, Manuela M. Veloso posted by 1 person liefengbo
	Training a Support Vector Machine in the Primal [My Copy] Neural Comp., Vol. 19, No. 5. (1 May 2007), pp. 1155-1178. by Olivier Chapelle posted by 1 person liefengbo
	Working Set Selection Using Second Order Information for Training Support Vector Machines [My Copy] Journal of Machine Learning Research, Vol. 6 (December 2005), pp. 1889-1918. by Rong-En Fan, Pai-Hsuen Chen, Chih-Jen Lin posted by 2 people santhosh liefengbo
	The Joint Manifold Model for Semi-supervised Multi-valued Regression [My Copy] Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference on In Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference on (2007), pp. 1-8. by R. Navaratnam, A. W. Fitzgibbon, R. Cipolla posted by 2 people weiweiguo liefengbo
	Learning Joint Top-Down and Bottom-up Processes for 3D Visual Inference [My Copy] In CVPR (2) (2006), pp. 1743-1752. by Cristian Sminchisescu, Atul Kanaujia, Dimitris N. Metaxas posted by 1 person liefengbo
	Recovering 3D human pose from monocular images [My Copy] Pattern Analysis and Machine Intelligence, IEEE Transactions on In Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 28, No. 1. (2006), pp. 44-58. by A. Agarwal, B. Triggs posted by 3 people varung weiweiguo liefengbo
	Discriminative Density Propagation for 3D Human Motion Estimation [My Copy] In CVPR '05: Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 (2005), pp. 390-397. by Cristian Sminchisescu, Atul Kanaujia, Zhiguo Li, Dimitris Metaxas posted by 3 people varung weiweiguo liefengbo
	Semi-supervised Hierarchical Models for 3D Human Pose Reconstruction [My Copy] Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on In Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on (2007), pp. 1-8. by A. Kanaujia, C. Sminchisescu, D. Metaxas posted by 3 people varung weiweiguo liefengbo
	Gaussian Processes for Bayesian Classification via Hybrid Monte Carlo [My Copy] In NIPS (1996), pp. 340-346. by David Barber, Christopher K. I. Williams edited by Michael Mozer, Michael I. Jordan, Thomas Petsche, Michael Mozer, Michael I. Jordan, Thomas Petsche posted by 1 person liefengbo
	Gaussian Processes for Regression [My Copy] In NIPS (1995), pp. 514-520. by Christopher K. I. Williams, Carl E. Rasmussen edited by David S. Touretzky, Michael Mozer, Michael E. Hasselmo, David S. Touretzky, Michael Mozer, Michael E. Hasselmo posted by 1 person liefengbo
	Fast algorithms for large scale conditional 3D prediction [My Copy] Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on In Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on (2008), pp. 1-8. by Liefeng Bo, C. Sminchisescu, A. Kanaujia, D. Metaxas posted by 2 people weiweiguo liefengbo
	Training Hard-Margin Support Vector Machines Using Greedy Stagewise Algorithm [My Copy] Neural Networks, IEEE Transactions on In Neural Networks, IEEE Transactions on, Vol. 19, No. 8. (2008), pp. 1446-1455. by Liefeng Bo, Ling Wang, Licheng Jiao posted by 1 person liefengbo
	Working Set Selection Using Functional Gain for LS-SVM [My Copy] Neural Networks, IEEE Transactions on In Neural Networks, IEEE Transactions on, Vol. 18, No. 5. (2007), pp. 1541-1544. by Liefeng Bo, Licheng Jiao, Ling Wang posted by 1 person liefengbo
	Recursive Finite Newton Algorithm for Support Vector Regression in the Primal [My Copy] Neural Comput., Vol. 19, No. 4. (2007), pp. 1082-1096. by Liefeng Bo, Ling Wang, Licheng Jiao posted by 1 person liefengbo
	Feature Scaling for Kernel Fisher Discriminant Analysis Using Leave-One-Out Cross Validation [My Copy] Neural Comp., Vol. 18, No. 4. (1 April 2006), pp. 961-978. by Liefeng Bo, Ling Wang, Licheng Jiao posted by 1 person liefengbo
	On the Algorithmic Implementation of Multiclass Kernel-based Vector Machines [My Copy] Journal of Machine Learning Research, Vol. 2 (2001), pp. 265-292. by Koby Crammer, Yoram Singer posted by 1 person liefengbo
	On Learning Vector-Valued Functions [My Copy] Neural Computation, Vol. 17, No. 1. (2005), pp. 177-204. by Charles A. Micchelli, Massimiliano Pontil posted by 1 person liefengbo
	Large Margin Methods for Structured and Interdependent Output Variables [My Copy] Journal of Machine Learning Research, Vol. 6 (2005), pp. 1453-1484. by Ioannis Tsochantaridis, Thorsten Joachims, Thomas Hofmann, Yasemin Altun posted by 2 people pprett liefengbo
	Kernel Dependency Estimation [My Copy] In NIPS (2002), pp. 873-880. by Jason Weston, Olivier Chapelle, André Elisseeff, Bernhard Schölkopf, Vladimir Vapnik edited by Suzanna Becker, Sebastian Thrun, Klaus Obermayer, Suzanna Becker, Sebastian Thrun, Klaus Obermayer posted by 1 person liefengbo
	Maximum Entropy Markov Models for Information Extraction and Segmentation [My Copy] In ICML (2000), pp. 591-598. by Andrew Mccallum, Dayne Freitag, Fernando C. N. Pereira edited by Pat Langley, Pat Langley posted by 1 person liefengbo
	Max-Margin Markov Networks [My Copy] In NIPS (2003) by Benjamin Taskar, Carlos Guestrin, Daphne Koller edited by Sebastian Thrun, Lawrence K. Saul, Bernhard Schölkopf, Sebastian Thrun, Lawrence K. Saul, Bernhard Schölkopf posted by 1 person liefengbo
	Improvements to the SMO algorithm for SVM regression [My Copy] Neural Networks, IEEE Transactions on In Neural Networks, IEEE Transactions on, Vol. 11, No. 5. (2000), pp. 1188-1193. by S. K. Shevade, S. S. Keerthi, C. Bhattacharyya, K. R. K. Murthy posted by 1 person liefengbo
	$My PDF frie\ss_98_kerneladatron.pdf$ The Kernel-Adatron Algorithm: A Fast and Simple Learning Procedure for Support Vector Machines [My Copy] In ICML (1998), pp. 188-196. by Thilo T. Frie\ss, Nello Cristianini, Colin Campbell edited by Jude W. Shavlik, Jude W. Shavlik posted by 1 person liefengbo
	Improvements to Platt's SMO Algorithm for SVM Classifier Design [My Copy] Neural Computation, Vol. 13, No. 3. (2001), pp. 637-649. by Sathiya S. Keerthi, Shirish K. Shevade, Chiranjib Bhattacharyya, K. R. K. Murthy posted by 1 person liefengbo
	3D human pose from silhouettes by relevance vector regression [My Copy] Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on In Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on, Vol. 2 (2004), pp. II-882-II-888 Vol.2. by A. Agarwal, B. Triggs posted by 2 people liefengbo mat4sajphd
	Fast pose estimation with parameter-sensitive hashing [My Copy] Computer Vision, 2003. Proceedings. Ninth IEEE International Conference on In Computer Vision, 2003. Proceedings. Ninth IEEE International Conference on (2003), pp. 750-757 vol.2. by G. Shakhnarovich, P. Viola, T. Darrell posted by 4 people varung weiweiguo liefengbo mat4sajphd
	Dimensionality reduction by unsupervised regression [My Copy] Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on In Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on (2008), pp. 1-8. by M. A. Carreira-Perpinan, Zhengdong Lu posted by 3 people nimbot liefengbo mann23
	Kernel conditional random fields: representation and clique selection [My Copy] In ICML '04: Proceedings of the twenty-first international conference on Machine learning (2004) by John Lafferty, Xiaojin Zhu, Yan Liu posted by 2 people liefengbo j3xucite
	Coordinate Descent Method for Large-scale L2-loss Linear Support Vector Machines [My Copy] Journal of Machine Learning Research, Vol. 9 (July 2008), pp. 1369-1398. by Kai-Wei Chang, Cho-Jui Hsieh, Chih-Jen Lin posted by 1 person liefengbo
	Sparse Bayesian Learning and the Relevance Vector Machine [My Copy] Journal of Machine Learning Research, Vol. 1 (June 2001), pp. 211-244. by Michael E. Tipping posted by 2 people liefengbo haiyeong
	The Pyramid Match Kernel: Efficient Learning with Sets of Features [My Copy] Journal of Machine Learning Research, Vol. 8 (April 2007), pp. 725-760. by Kristen Grauman, Trevor Darrell posted by 5 people gfacciol liefengbo pwais sdvillal vinaypn
	More efficiency in multiple kernel learning [My Copy] In ICML '07: Proceedings of the 24th international conference on Machine learning (2007), pp. 775-782. by Alain Rakotomamonjy, Francis Bach, Stéphane Canu, Yves Grandvalet posted by 2 people liefengbo jccaicedo
	Active Learning with Gaussian Processes for Object Categorization [My Copy] Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference on In Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference on (2007), pp. 1-8. by Ashish Kapoor, Kristen Grauman, Raquel Urtasun, Trevor Darrell posted by 2 people liefengbo Mohan-S
	BM³E : Discriminative Density Propagation for Visual Tracking [My Copy] Pattern Analysis and Machine Intelligence, IEEE Transactions on In Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 29, No. 11. (2007), pp. 2030-2044. by C. Sminchisescu, A. Kanaujia, D. N. Metaxas posted by 4 people micha137 weiweiguo liefengbo assad79
	Sparse Multinomial Logistic Regression: Fast Algorithms and Generalization Bounds [My Copy] IEEE Trans. Pattern Anal. Mach. Intell., Vol. 27, No. 6. (June 2005), pp. 957-968. by Balaji Krishnapuram, Alexander J. Hartemink posted by 6 people weiweiguo Skills, Automaticity and Imaging Methods davclark liefengbo daniel51 librain
	Scalable Recognition with a Vocabulary Tree [My Copy] In CVPR '06: Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (2006), pp. 2161-2168. by David Nister, Henrik Stewenius posted by 5 people Mohan-S liefengbo kenji Product Images seeocean2000
	Pegasos: Primal Estimated sub-GrAdient SOlver for SVM [My Copy] In ICML '07: Proceedings of the 24th international conference on Machine learning (2007), pp. 807-814. by Shai S. Shwartz, Yoram Singer, Nathan Srebro posted by 8 people kazennikov kabus nliu82 librain pprett eddymier liefengbo daniel51
	Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data [My Copy] In ICML (2001), pp. 282-289. by John D. Lafferty, Andrew Mccallum, Fernando C. N. Pereira edited by Carla E. Brodley, Andrea P. Danyluk, Carla E. Brodley, Andrea P. Danyluk posted by 2 people liefengbo bhaddow
	Sparse graphical models for exploring gene expression data [My Copy] J. Multivar. Anal. In Special Issue on Multivariate Methods in Genomic Data Analysis, Vol. 90, No. 1. (July 2004), pp. 196-212. by Adrian Dobra, Chris Hans, Beatrix Jones, Joseph R. Nevins, Guang Yao, Mike West posted by 6 people jmstat bertelsen ggallone liefengbo jo_davies srp33
	Fast Sparse Approximation for Least Squares Support Vector Machine [My Copy] Neural Networks, IEEE Transactions on, Vol. 18, No. 3. (2007), pp. 685-697. by L. Jiao, L. Bo, L. Wang posted by 2 people liefengbo dayadvham
	Distinctive Image Features from Scale-Invariant Keypoints [My Copy] International Journal of Computer Vision, Vol. 60, No. 2. (1 November 2004), pp. 91-110. by David G. Lowe posted by 31 people ianhales pwais pingmei sonvu simogasp VCortes luciebelanger mpd008 jmuredubois jrodriguez haiyeong liefengbo mthomure rabit pick600 jccaicedo mat4sajphd aogier kittipat ansobol weiweiguo Product Images sylvain_chevallier CAVIAR jfmenudet thorgal assad79 jsanpedro maddin krisada gfacciol
	A tutorial on support vector regression [My Copy] Statistics and Computing, Vol. 14, No. 3. (1 August 2004), pp. 199-222. by Alex J. Smola, Bernhard Schölkopf posted by 8 people Cavadini xuzhe83 liefengbo vbaudoui timg dcastro jccaicedo caramanis
	Multiple Class Segmentation Using A Unified Framework over Mean-Shift Patches [My Copy] Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on In Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on (2007), pp. 1-8. by Lin Yang, P. Meer, D. J. Foran posted by 1 person zeppe
	Latent topic random fields: Learning using a taxonomy of labels [My Copy] Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on In Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on (2008), pp. 1-8. by Xuming He, R. S. Zemel posted by 1 person zeppe
	Combining appearance models and Markov Random Fields for category level object segmentation [My Copy] Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on In Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on (2008), pp. 1-7. by D. Larlus, F. Jurie posted by 1 person zeppe
	Semantic texton forests for image categorization and segmentation [My Copy] Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on In Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on (2008), pp. 1-8. by J. Shotton, M. Johnson, R. Cipolla posted by 4 people h-chi espriggs zeppe trevordarrell