bpacker's library 136 articles Export

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	Combining Labeled and Unlabeled Data with Co-training [My Copy] In COLT: Proceedings of the Workshop on Computational Learning Theory, Morgan Kaufmann Publishers (1998) by Avrim Blum, Tom Mitchell posted to cotraining semisupervised-learning by bpacker on 2007-10-14 15:42:59 as along with 10 people and 2 groups gangli davidr andi_urra mukundn sdvillal gkvas markymaypo sugarexpletive jdu adamsi tulip ARTFL
	Unsupervised improvement of visual detectors using cotraining [My Copy] (2003) by A. Levin, P. Viola, Y. Freund posted to cotraining object-detection semisupervised-learning vision by bpacker on 2007-10-14 15:40:26 as
	A View of the EM Algorithm that Justifies Incremental, Sparse, and other Variants [My Copy] In Learning in Graphical Models (1998) by R. Neal, G. Hinton edited by M. I. Jordan posted to cotraining probabilistic-models by bpacker on 2007-08-06 19:36:13 as along with 8 people and 2 groups ppeeling zheaton shilad ml_and_apps noa singhsh sfuniak ecome GroupLens vision-ng
	Old and new matrix algebra useful for statistics [My Copy] (1997) by T. Minka posted to math by bpacker on 2007-06-21 19:10:41 as along with 4 people and 1 group ppeeling ansobol gane5h bamberg vision-ng
	Training Products of Experts by Minimizing Contrastive Divergence [My Copy] Neural Comp., Vol. 14, No. 8. (1 August 2002), pp. 1771-1800. by Geoffrey E. Hinton posted to probabilistic-models product-of-experts by bpacker on 2007-06-01 02:45:07 as along with 2 people and 1 group zheaton zeppe vision-ng
	Regression shrinkage and selection via the lasso [My Copy] (1994) by R. Tibshirani posted to algorithms lasso by bpacker on 2006-03-28 01:25:32 as along with 2 people and 1 group mukundn bpiwowar vision-ng
	Group and Topic Discovery from Relations and Text [My Copy] In LinkKDD by Xuerui Wang, Natasha Mohanty, Andrew Mccallum posted to lda nlp sna topic by bpacker on 2006-02-01 19:07:12 as along with 1 person and 1 group jeonghochang vision-ng
	Topic and Role Discovery in Social Networks [My Copy] In IJCAI (2005) by Andrew Mccallum, Andres Corrada-Emmanuel, Xuerui Wang posted to lda nlp sna topic by bpacker on 2006-02-01 18:54:08 as along with 2 people and 2 groups xiaoyan2006 anon_pl vision-ng VT_DLRL
	Representation of Angles Embedded within Contour Stimuli in Area V2 of Macaque Monkeys [My Copy] J. Neurosci., Vol. 24, No. 13. (31 March 2004), pp. 3313-3324. by Minami Ito, Hidehiko Komatsu posted to contour v2 vision by bpacker on 2006-01-11 00:41:33 as along with 3 people and 1 group recsp2003 ajbattle rwilliamson vision-ng
	Incremental learning of object detectors using a visual shape alphabet [My Copy] Computer Vision and Pattern Recognition, 2006 IEEE Computer Society Conference on, Vol. 1 (2006), pp. 3-10. by A. Opelt, A. Pinz, A. Zisserman posted to recognition vision by bpacker on 2006-09-21 11:27:04 as along with 3 people and 1 group canotilho doubleshow taphuong vision-ng
	Hyperfeatures - Multilevel Local Coding for Visual Recognition [My Copy] In ECCV International Workshop on Statistical Learning in Computer Vision (2006) by Ankur Agarwal, William Triggs posted to bag-of-patches classification vision by bpacker on 2006-04-10 16:38:53 as along with 3 people and 6 groups jekky ywang drivard CMU-HCII Blog_and_Wiki_Research automatic_summarization ASR vision-ng LIVIA
	Visual categorization with bags of keypoints [My Copy] In ECCV International Workshop on Statistical Learning in Computer Vision (2004) by Chris Dance, Jutta Willamowski, Lixin Fan, Cedric Bray, Gabriela Csurka posted to bag-of-patches caltech classification recognition vision by bpacker on 2006-04-10 16:28:58 as along with 6 people and 1 group mthomure kipmaster olyweb ElQuijote42 GernotMargreitner miyaki vision-ng
	Discovering object categories in image collections [My Copy] In ICCV (2005) by J. Sivic, B. Russell, A. Efros, A. Zisserman, W. Freeman posted to bag-of-patches caltech recognition vision by bpacker on 2006-04-10 15:59:58 as along with 1 group vision-ng
	Sparse multinomial logistic regression: fast algorithms and generalization bounds [My Copy] Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 27, No. 6. (2005), pp. 957-968. by B. Krishnapuram, L. Carin, M. A. T. Figueiredo, A. J. Hartemink posted to algorithms lasso by bpacker on 2006-03-28 01:36:37 as along with 1 person and 1 group davidr vision-ng
	Tree Dependent Identically Distributed Learning [My Copy] (2005) by Tony Jebara, Phil Long posted to trees by bpacker on 2006-02-20 08:02:51 as along with 1 group vision-ng
	Multiclass Object Recognition Using Sparse, Localized HMAX Features [My Copy] In CVPR (2006) by Jim Mutch, David Lowe posted to caltech classification recognition vision by bpacker on 2006-02-08 04:44:54 as along with 1 person and 1 group mwmerritt vision-ng
	Shape Matching and Object Recognition Using Low Distortion Correspondences [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. 26-33. by Alexander C. Berg, Tamara L. Berg, Jitendra Malik posted to caltech classification recognition by bpacker on 2005-12-14 18:33:16 as along with 4 people and 1 group caicai hayko olyweb egozi vision-ng
	Learning from Multiple sources [My Copy] In Neural Information Processing Systems (2006) by Koby Crammer, Michael Kearns, Jennifer Wortman posted to cotraining hierarchy by bpacker on 2008-02-11 19:33:57 as
	A new composition theorem for learning algorithms [My Copy] In STOC '98: Proceedings of the thirtieth annual ACM symposium on Theory of computing (1998), pp. 583-589. by Nader H. Bshouty posted to learning-theory phase-learning by bpacker on 2008-02-03 04:39:02 as
	Exact Learning Composed Classes with a Small Number of Mistakes [My Copy] Learning Theory (2006), pp. 199-213. by Nader Bshouty, Hanna Mazzawi posted to learning-theory phase-learning by bpacker on 2008-02-03 04:37:25 as
	Are Emily and Greg More Employable than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination [My Copy] National Bureau of Economic Research Working Paper Series (July 2003), 9873. by Marianne Bertrand, Sendhil Mullainathan posted to racism social-science by bpacker on 2008-01-29 04:36:08 as
	Analyzing the Effectiveness and Applicability of Co-training [My Copy] In CIKM (2000), pp. 86-93. by Kamal Nigam, Rayid Ghani posted to cotraining probabilistic-models by bpacker on 2008-01-23 16:45:13 as along with 3 people davidr buescher76 mukundn
	Co-training from an Incremental EM Perspective [My Copy] Intelligent Data Engineering and Automated Learning – IDEAL 2004 (2004), pp. 765-773. by Minoo Aminian posted to cotraining probabilistic-models by bpacker on 2008-01-23 01:32:56 as
	Learning Mixtures of Gaussians [My Copy] In FOCS '99: Proceedings of the 40th Annual Symposium on Foundations of Computer Science (1999) by Sanjoy Dasgupta posted to probabilistic-models by bpacker on 2008-01-15 02:35:37 as
	Continuation methods for mixing heterogeneous sources [My Copy] (2002) by A. Corduneanu, T. Jaakkola posted to continuation-methods semisupervised-learning by bpacker on 2008-01-09 19:13:06 as
	The Information Bottleneck EM algorithm [My Copy] (2003) by G. Elidan, N. Friedman posted to continuation-methods probabilistic-models statistics by bpacker on 2008-01-09 19:12:25 as along with 1 person markusd
	Some theory for Fisher's linear discriminant function, `naive Bayes', and some alternatives when there are many more variables than observations [My Copy] Bernoulli, Vol. 10, No. 6. (2004), pp. 989-1010. by Peter J. Bickel, Elizaveta Levina posted to regularization statistics by bpacker on 2007-12-10 18:48:07 as along with 2 people zufar agogoh3
	Regularization in statistics [My Copy] TEST, Vol. 15, No. 2. (2006), pp. 271-344. by Peter Bickel, Bo Li, Alexandre Tsybakov, et al.Sara van de Geer, Bin Yu, Teófilo Valdés, Carlos Rivero, Jianqing Fan, Aad van der Vaart posted to boosting regularization statistics by bpacker on 2007-12-10 18:45:12 as
	On the bias of information estimates [My Copy] Psychological Bulletin, Vol. 71, No. 2. (February 1969), pp. 108-109. by A. G. Carlton posted to statistics by bpacker on 2007-10-23 04:12:33 as
	Analytical estimates of limited sampling biases in different information measures [My Copy] Network: Computation in Neural Systems, Vol. 7, No. 1. (1996), pp. 87-107. by Stefano Panzeri, Alessandro Treves posted to statistics by bpacker on 2007-10-16 00:12:23 as
	Co-training and expansion: Towards bridging theory and practice [My Copy] (2004) by N. Balcan, A. Bluem, K. Yang posted to cotraining by bpacker on 2007-10-14 15:45:42 as
	An augmented PAC model for semi-supervised learning [My Copy] (2005) by M. Balcan, A. Blum posted to cotraining semisupervised-learning by bpacker on 2007-10-14 15:42:12 as along with 1 person sugarexpletive
	Exponentiated Gradient Versus Gradient Descent for Linear Predictors [My Copy] No. UCSC-CRL-94-16. (1994) by Jyrki Kivinen, Manfred Warmuth posted to algorithms optimization by bpacker on 2007-09-04 21:06:05 as along with 1 person and 2 groups varung vision-ng dags
	Uncovering shared structures in multiclass classification [My Copy] In ICML '07: Proceedings of the 24th international conference on Machine learning (2007), pp. 17-24. by Yonatan Amit, Michael Fink, Nathan Srebro, Shimon Ullman posted to classification hierarchy product-of-experts vision by bpacker on 2007-08-20 18:36:15 as along with 3 people and 1 group ajbattle noandrews vinaypn vision-ng
	Online multiclass learning by interclass hypothesis sharing [My Copy] In ICML '06: Proceedings of the 23rd international conference on Machine learning (2006), pp. 313-320. by Michael Fink, Shai Shalev-Shwartz, Yoram Singer, Shimon Ullman posted to boosting by bpacker on 2007-08-06 21:39:14 as along with 1 person and 1 group ajbattle vision-ng
	Rapid object detection using a boosted cascade of simple features [My Copy] (2001) by P. Viola, M. Jones posted to boosting vision by bpacker on 2007-07-12 19:27:38 as along with 3 people and 1 group meirc olyweb zhengzhong vision-ng
	Logistic Regression, AdaBoost and Bregman Distances [My Copy] In Computational Learing Theory (2000), pp. 158-169. by Michael Collins, Robert E. Schapire, Yoram Singer posted to boosting probabilistic-models by bpacker on 2007-06-04 23:12:55 as along with 2 people and 1 group dragonrez Daniel24 vision-ng
	Incorporating prior knowledge into boosting [My Copy] (2002) by R. Schapire, M. Rochery, M. Rahim, N. Gupta posted to boosting priors probabilistic-models by bpacker on 2007-06-04 06:36:05 as along with 1 group vision-ng
	Partially observed values [My Copy] Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on, Vol. 4 (2004), pp. 2825-2830 vol.4. by T. Raiko posted to statistics by bpacker on 2007-01-07 17:53:41 as along with 1 group vision-ng
	Unsupervised Learning by Probabilistic Latent Semantic Analysis [My Copy] Mach. Learn., Vol. 42, No. 1-2. (2001), pp. 177-196. by Thomas Hofmann posted to nlp topic by bpacker on 2006-09-21 11:37:32 as along with 2 people and 1 group ldietz arsyed vision-ng
	Probabilistic abstraction hierarchies [My Copy] (2001) by E. Segal, D. Koller, D. Ormoneit posted to hierarchy probabilistic-models by bpacker on 2006-05-09 22:46:28 as along with 1 group vision-ng
	Scalable Inference in Hierarchical Generative Models [My Copy] by Thomas D. Department posted to vision by bpacker on 2006-04-25 03:17:06 as along with 2 people and 1 group scis0000001 iansimon vision-ng
	Feature-Centric Evaluation for Efficient Cascaded Object Detection [My Copy] Computer Vision and Pattern Recognition, IEEE Computer Society Conference on, Vol. 2 (2004), pp. 29-36. by Henry Schneiderman posted to caltech classification vision by bpacker on 2006-04-22 19:08:48 as along with 6 people and 2 groups vspyong recsp2008 mthomure shrikondra doubleshow GernotMargreitner Product Images vision-ng
	Multiclass Object Recognition with Sparse, Localized Features (to appear) [My Copy] In CVPR (2006) by Jim Mutch, David G. Lowe posted to caltech classification vision by bpacker on 2006-04-22 19:02:39 as along with 1 person and 1 group ywang vision-ng
	Grafting: fast, incremental feature selection by gradient descent in function space [My Copy] J. Mach. Learn. Res., Vol. 3 (2003), pp. 1333-1356. by Simon Perkins, Kevin Lacker, James Theiler posted to algorithms lasso by bpacker on 2006-03-28 02:13:26 as along with 2 people and 1 group yaroslavvb markusd vision-ng
	Latent dirichlet allocation [My Copy] J. Mach. Learn. Res., Vol. 3 (2003), pp. 993-1022. by David M. Blei, Andrew Y. Ng, Michael I. Jordan posted to lda nlp topic by bpacker on 2006-03-21 06:07:00 as along with 11 people and 1 group bwilfley yaroslavvb creswick davidr bfraser student_t fwkroon phlow coleslaw cliff ciga vision-ng
	A two-layer sparse coding model learns simple and complex cell receptive fields and topography from natural images [My Copy] Vision Research, Vol. 41, No. 18. (August 2001), pp. 2413-2423. by A. Hyvarinen, P. O. Hoyer posted to complex-cell ica v1 vision by bpacker on 2006-03-01 19:05:15 as along with 1 group vision-ng
	Learning Sparse Multiscale Image Representations [My Copy] NIPS, Vol. 15 (2003), pp. 1327-1334. by Phil Sallee, Bruno A. Olshausen edited by S. Becker, S. Thrun, K. Obermayer posted to sparse-coding vision by bpacker on 2006-02-23 20:51:40 as along with 1 group vision-ng
	Probabilistic framework for the adaptation and comparison of image codes [My Copy] JOSA A: Optics, Image Science, and Vision, Vol. 16, No. 7. (July 1999), pp. 1587-1601. by Michael S. Lewicki, Bruno A. Olshausen posted to sparse-coding vision by bpacker on 2006-02-23 20:41:21 as along with 1 group vision-ng
	Modeling Visual Patterns by Integrating Descriptive and Generative Methods [My Copy] Int. J. Comput. Vision, Vol. 53, No. 1. (June 2003), pp. 5-29. by Cheng-En Guo, Song-Chun Zhu, Ying N. Wu posted to probabilistic-models by bpacker on 2008-09-02 01:53:23 as along with 1 person and 1 group ciga Computational_Information_Geometry

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