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bpacker's library [134 articles]

Recent papers added to bpacker's library ordered by importance.
  • Combining Labeled and Unlabeled Data with Co-training
    (1998)
    by Avrim Blum, Tom Mitchell
    posted to cotraining semisupervised-learning by bpacker on 2007-10-14 15:42:59 as ***** along with 9 people and 2 groups jdu sugarexpletive markymaypo gangli davidr andi_urra mukundn sdvillal gkvas ARTFL tulip
  • Unsupervised improvement of visual detectors using cotraining
    (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
    (1998)
    by R Neal, G Hinton
    edited by MI Jordan
    posted to cotraining probabilistic-models by bpacker on 2007-08-06 19:36:13 as ***** along with 6 people and 2 groups sfuniak ecome shilad ml_and_apps noa singhsh GroupLens vision-ng
  • Old and new matrix algebra useful for statistics
    (1997)
    by T Minka
    posted to math by bpacker on 2007-06-21 19:10:41 as ***** along with 3 people and 1 group ansobol gane5h bamberg vision-ng
  • Training Products of Experts by Minimizing Contrastive Divergence
    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 1 person and 1 group zeppe vision-ng
  • notes Regression shrinkage and selection via the lasso
    (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 bpiwowar mukundn vision-ng
  • Group and Topic Discovery from Relations and Text
    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
    (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
    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
    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
    (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
    (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 7 people and 1 group miyaki mthomure kipmaster amirsaffari olyweb ElQuijote42 GernotMargreitner vision-ng
  • Discovering object categories in image collections
    (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
    Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 27, No. 6. (2005), pp. 957-968.
    by B Krishnapuram, L Carin, MAT Figueiredo, AJ 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
    (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
    (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 group vision-ng
  • notes Shape Matching and Object Recognition Using Low Distortion Correspondences
    (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 1 person and 1 group olyweb vision-ng
  • Learning from Multiple sources
    (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
    (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
    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
    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
    (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
    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
    (1999)
    by Sanjoy Dasgupta
    posted to probabilistic-models by bpacker on 2008-01-15 02:35:37 as ***
  • Continuation methods for mixing heterogeneous sources
    (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
    (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
    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 ***
  • Regularization in statistics
    TEST, Vol. 15, No. 2. (2006), pp. 271-344.
    by Peter Bickel, Bo Li, Alexandre Tsybakov, 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
    Psychological Bulletin, Vol. 71, No. 2. (February 1969), pp. 108-109.
    by AG Carlton
    posted to statistics by bpacker on 2007-10-23 04:12:33 as ***
  • Analytical estimates of limited sampling biases in different information measures
    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
    (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
    (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
    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
    (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 1 group vision-ng
  • Online multiclass learning by interclass hypothesis sharing
    (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 group vision-ng
  • Rapid object detection using a boosted cascade of simple features
    (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
    (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 2 groups dragonrez Daniel24 vision-ng csb_journal_club_public
  • Incorporating prior knowledge into boosting
    (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
    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
    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
    (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
    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
  • Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories
    Computer Vision and Pattern Recognition Workshop, 2004 Conference on (2004), pp. 178-178.
    by Li Fei-Fei, R Fergus, P Perona
    posted to caltech classification vision by bpacker on 2006-04-22 19:08:48 as *** along with 2 people and 1 group doubleshow GernotMargreitner vision-ng
  • Multiclass Object Recognition with Sparse, Localized Features (to appear)
    (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
    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 markusd yaroslavvb vision-ng
  • Latent dirichlet allocation
    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 10 people and 1 group yaroslavvb creswick davidr bfraser student_t fwkroon phlow coleslaw cliff ciga vision-ng
  • notes A two-layer sparse coding model learns simple and complex cell receptive fields and topography from natural images
    Vision Research, Vol. 41, No. 18. (August 2001), pp. 2413-2423.
    by A Hyvarinen, PO 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
    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
    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
  • Three learning phases for radial-basis-function networks
    Neural Networks, Vol. 14, No. 4-5. (May 2001), pp. 439-458.
    by Friedhelm Schwenker, Hans A Kestler, Gunther Palm
    posted to phase-learning sparse-coding by bpacker on 2008-02-03 04:37:44 as **
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