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jekkys library [232 articles]

Neue Artikel in jekkys Bibliothek.
  • Orthogonal nonnegative matrix t-factorizations for clustering
    (2006), pp. 126-135.
    by Chris Ding, Tao Li, Wei Peng, Haesun Park
  • Semi-Supervised Learning (Adaptive Computation and Machine Learning)
    (01 September 2006)
    edited by O Chapelle, B Schölkopf, A Zien
  • Semi-Supervised Clustering via Matrix Factorization
    (2008)
    by Fei Wang, Tao Li, Changshui Zhang
  • Information-theoretic co-clustering
    (2003), pp. 89-98.
    by Inderjit S Dhillon, Subramanyam Mallela, Dharmendra S Modha
  • Feature Extraction by Maximizing the Average Neighborhood Margin
    Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on (2007), pp. 1-8.
    by Fei Wang, Changshui Zhang
    posted to dimension-reduction feature-selection by jekky on 2008-03-09 16:00:50 as ** along with 1 person tino
  • A contextual dissimilarity measure for accurate and efficient image search
    Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on (2007), pp. 1-8.
  • Weakly Supervised Learning of Part-Based Spatial Models for Visual Object Recognition
    Computer Vision – ECCV 2006 (2006), pp. 16-29.
    by David Crandall, Daniel Huttenlocher
  • Semi-supervised Clustering by Seeding
    (2002), pp. 27-34.
    by Sugato Basu, Arindam Banerjee, Raymond J Mooney
  • Enhancing semi-supervised clustering: a feature projection perspective
    (2007), pp. 707-716.
    by Wei Tang, Hui Xiong, Shi Zhong, Jie Wu
  • Scene Modeling Using Co-Clustering
    (2007)
    by Jingen Liu, Mubarak Shah
  • Discriminative Object Class Models of Appearance and Shape by Correlatons
    Vol. 2 (2006), pp. 2033-2040.
  • Patch Alignment for Dimension Reduction
    IEEE Transactions on Knowledge and Data Engineering (2008)
    by Tianhao Zhang, Dacheng Tao, Deli Zhao, Xuelong Li, Jie Yang
    posted to dimension-reduction pca spectral spectral-matching subspace svd tensor by jekky on 2008-01-24 02:21:14 as **
  • Bayesian feature and model selection for Gaussian mixture models
    Transactions on Pattern Analysis and Machine Intelligence, Vol. 28, No. 6. (2006), pp. 1013-1018.
    posted to graphical-model metric-learning mixture-model toread by jekky on 2008-01-12 14:38:51 as *****
  • Simultaneous feature selection and clustering using mixture models
    Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 26, No. 9. (2004), pp. 1154-1166.
    by MHC Law, MAT Figueiredo, AK Jain
  • Supervised Learning of Quantizer Codebooks by Information Loss Minimization
    IEEE Transactions on Pattern Analysis and Machine Intelligence (2007)
    by Svetlana Lazebnik, Maxim Raginsky
    posted to bag-of-feature metric-learning vocabulary by jekky on 2007-12-20 01:28:07 as *****
  • An Introduction to Variational Methods for Graphical Models
    Machine Learning, Vol. 37 (1999), pp. 183-233.
    by Michael I Jordan, Zoubin Ghahramani, Tommi S Jaakkola, Lawrence Saul
    edited by David Heckerman
    posted to graphical-model toread tutorial variational-method by jekky on 2007-12-05 03:30:58 as *****
  • Feature Mining for Image Classification
    Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on (2007), pp. 1-8.
    by Piotr Dollar, Zhuowen Tu, Hai Tao, Serge Belongie
  • Representing shape with a spatial pyramid kernel
    (2007), pp. 401-408.
    by Anna Bosch, Andrew Zisserman, Xavier Munoz
  • Multilinear Discriminant Analysis for Face Recognition
    Image Processing, IEEE Transactions on, Vol. 16, No. 1. (2007), pp. 212-220.
    by S Yan, D Xu, Q Yang, L Zhang, X Tang, HJ Zhang
    posted to multilinear tensor toread by jekky on 2007-09-24 02:03:00 as *****
  • Learning Visual Similarity Measures for Comparing Never Seen Objects
    Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on (2007), pp. 1-8.
    by Eric Nowak, Frederic Jurie
  • Proximity Distribution Kernels for Geometric Context in Category Recognition
    (October 2007)
    by Haibin Ling, Stefano Soato
  • Learning distance functions for image retrieval
    Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on, Vol. 2 (2004), pp. II-570-II-577 Vol.2.
  • On learning asymmetric dissimilarity measures
    Data Mining, Fifth IEEE International Conference on (2005), 4 pp..
  • Dynamic visual attention model in image sequences
    Image Vision Comput., Vol. 25, No. 5. (May 2007), pp. 597-613.
    by Mar&\#237;a T L&\#243;pez, Miguel A Fern&\#225;ndez, Antonio Fern&\#225;ndez-Caballero, Jos&\#233; Mira, Ana E Delgado
  • Text Classification from Labeled and Unlabeled Documents using EM
    Machine Learning, Vol. V39, No. 2. (1 May 2000), pp. 103-134.
    by Kamal Nigam, Andrew K Mccallum, Sebastian Thrun, Tom Mitchell
  • Bayesian Sets
    (2005)
  • A Simple Bayesian Framework for Content-Based Image Retrieval
    (2006), pp. 2110-2117.
    by Katherine A Heller, Zoubin Ghahramani
  • Learning to Locate Informative Features for Visual Identification
    International Journal of Computer Vision (2006)
    by Andras Ferencz, Erik Learned-Miller, Jitendra Malik
  • Discriminative Training of Hyper-feature Models for Object Identification
    (2006)
    by Vidit Jain, Andras Ferencz, Erik Learned-Miller
  • Learning Hyper-Features for Visual Identification
    Vol. 18 (2004)
    by Andras Ferencz, Erik Learned-Miller, Jitendra Malik
  • Building a classification cascade for visual identification from one example
    Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference on, Vol. 1 (2005), pp. 286-293 Vol. 1.
  • Hyperfeatures - Multilevel Local Coding for Visual Recognition
    (2006)
    by Ankur Agarwal, William Triggs
  • Using Multiple Segmentations to Discover Objects and their Extent in Image Collections
    (2006)
    by BC Russell, AA Efros, J Sivic, WT Freeman, A Zisserman
  • Pictorial Structures for Object Recognition
    International Journal of Computer Vision, Vol. V61, No. 1. (1 January 2005), pp. 55-79.
    by Pedro F Felzenszwalb, Daniel P Huttenlocher
  • Unbalanced region matching based on two-level description for image retrieval
    Pattern Recognition Letters, Vol. 26, No. 5. (April 2005), pp. 565-580.
    by Sheng-Yang Dai, Yu-Jin Zhang
  • Object class recognition by unsupervised scale-invariant learning
    Computer Vision and Pattern Recognition, 2003. Proceedings. 2003 IEEE Computer Society Conference on, Vol. 2 (2003), pp. II-264-II-271 vol.2.
  • Learning Saliency Maps for Object Categorization
    (2006)
    by Frank Moosmann, Diane Larlus, Frederic Jurie
  • Object modeling and recognition using local affine-invariant image descriptors and multi-view spatial contraints
    International Journal of Computer Vision, Vol. 66, No. 3. (2006)
    by F Rothganger, Svetlana Lazebnik, Cordelia Schmid, Jean Ponce
  • Shape matching and object recognition using low distortion correspondences
    Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on, Vol. 1 (2005), pp. 26-33 vol. 1.
    by AC Berg, TL Berg, J Malik
  • Local Features for Object Class Recognition
    (2005), pp. 1792-1799.
    by Krystian Mikolajczyk, Bastian Leibe, Bernt Schiele
  • Multiclass Object Recognition with Sparse, Localized Features
    Computer Vision and Pattern Recognition, 2006 IEEE Computer Society Conference on, Vol. 1 (2006), pp. 11-18.
    by J Mutch, DG Lowe
  • Spatial weighting for bag-of-features
    (2006)
    by Marcin Marszałek, Cordelia Schmid
  • The Layout Consistent Random Field for Recognizing and Segmenting Partially Occluded Objects
    Computer Vision and Pattern Recognition, 2006 IEEE Computer Society Conference on, Vol. 1 (2006), pp. 37-44.
    by J Winn, J Shotton
  • Located Hidden Random Fields: Learning Discriminative Parts for Object Detection
    Vol. 3 (2006)
    by Ashish Kapoor, John Winn
  • Object categorization by learned universal visual dictionary
    Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference on, Vol. 2 (2005), pp. 1800-1807 Vol. 2.
    by J Winn, A Criminisi, T Minka
  • LOCUS: learning object classes with unsupervised segmentation
    Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference on, Vol. 1 (2005), pp. 756-763 Vol. 1.
    by J Winn, N Jojic
  • Modeling annotated data
    (2003), pp. 127-134.
    by David M Blei, Michael I Jordan
  • Clustering Appearance and Shape by Learning Jigsaws
    Vol. 19 (2006)
    by Anitha Kannan, John Winn, Carsten Rother
  • Balanced Graph Matching
    (2006)
    by Timothee Cour, Praveen Srinivasan, Jinbo Shi
  • SURF: Speeded-Up Robust Features
    by Herbert Bay, Tinne Tuytelaars, Luc Van Gool
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