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Tag metric-learning [18 articles]

Recent papers classified by the tag metric-learning.
  • Information-theoretic metric learning
    (2007), pp. 209-216.
    by Jason V Davis, Brian Kulis, Prateek Jain, Suvrit Sra, Inderjit S Dhillon
    posted to metric-learning by teesid on 2007-12-18 10:27:11 as ***** along with 3 people sdvillal jung_dalglish jsr
  • Local Fisher discriminant analysis for supervised dimensionality reduction
    (2006), pp. 905-912.
    by Masashi Sugiyama
    posted to metric-learning by teesid on 2007-12-18 04:07:12 as read along with 2 people sdvillal jung_dalglish
  • Local Discriminant Embedding with Tensor Representation
    Image Processing, 2006 IEEE International Conference on (2006), pp. 929-932.
    by Jian Xia, Dit-Yan Yeung, Guang Dai
    posted to metric-learning tensor by teesid on 2008-03-12 08:26:22 as **
  • Metric Embedding for Nearest Neighbor Classification
    (24 Jun 2007)
    by Bharath K Sriperumbudur, Gert RG Lanckriet
    posted to kernel metric-learning by teesid on 2007-12-25 19:42:54 as ***** along with 1 person bigbossman
  • Distance--Based Classification with Lipschitz Functions
    J. Mach. Learn. Res., Vol. 5 (2004), pp. 669-695.
    by Ulrike von Luxburg, Olivier Bousquet
    posted to metric-learning by teesid on 2007-12-20 08:02:57 as ****
  • Local discriminant embedding and its variants
    Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on, Vol. 2 (2005), pp. 846-853 vol. 2.
    by Hwann-Tzong Chen, Huang-Wei Chang, Tyng-Luh Liu
    posted to kernel-method metric-learning by jung_dalglish on 2008-01-31 10:37:49 as ** along with 1 person caicai
  • Semi-Supervised Learning (Adaptive Computation and Machine Learning)
    (01 September 2006)
    edited by O Chapelle, B Schölkopf, A Zien
    posted to clustering machine-learning manifold-learning metric-learning by jung_dalglish on 2008-02-03 09:27:25 as ***** along with 7 people thefillm jekky sdvillal ecome bundschu worldsun davidr
  • A transductive framework of distance metric learning by spectral dimensionality reduction
    (2007), pp. 513-520.
    by Fuxin Li, Jian Yang, Jue Wang
    posted to gram-matrix-learning manifold-learning metric-learning by jung_dalglish on 2007-12-22 02:25:57 as read
  • Marginal Fisher Analysis and Its Variants for Human Gait Recognition and Content- Based Image Retrieval
    Image Processing, IEEE Transactions on, Vol. 16, No. 11. (2007), pp. 2811-2821.
    by Dong Xu, Shuicheng Yan, Dacheng Tao, S Lin, Hong-Jiang Zhang
    posted to fda kernel-method manifold-learning metric-learning by jung_dalglish on 2008-01-31 10:41:09 as ***
  • Graph Embedding and Extensions: A General Framework for Dimensionality Reduction
    Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 29, No. 1. (2007), pp. 40-51.
    by Shuicheng Yan, Dong Xu, Benyu Zhang, Hong-Jiang Zhang, Qiang Yang, S Lin
    posted to fda manifold-learning metric-learning by jung_dalglish on 2008-02-03 09:13:07 as read along with 4 people and 1 group xtizon sdvillal zoop mdreid Statistical Machine Learning
  • Optimal dimensionality of metric space for classification
    (2007), pp. 1135-1142.
    by Wei Zhang, Xiangyang Xue, Zichen Sun, Yue-Fei Guo, Hong Lu
    posted to metric-learning by jung_dalglish on 2008-02-03 14:21:19 as read along with 1 person sdvillal
  • 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.
    by H Jegou, H Harzallah, C Schmid
    posted to bag-of-feature bag-of-features matching metric-learning object-categorization object-modeling object-recognition by jekky on 2008-03-07 07:53:45 as read
  • 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
    posted to 2007 category-recognition cvpr metric-learning object-categorization object-recognition by jekky on 2007-08-05 09:25:55 as read along with 4 groups CMU-HCII Blog_and_Wiki_Research automatic_summarization ASR
  • 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
    posted to feature-selection graphical-model metric-learning mixture-model toread by jekky on 2007-12-31 03:39:34 as ** along with 3 people sdvillal eacosta amargoli
  • 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.
    by T Hertz, A Bar-Hillel, D Weinshall
    posted to learning metric-learning toread by jekky on 2007-06-24 14:12:05 as ***** along with 2 people and 5 groups thsant ciga CMU-HCII Blog_and_Wiki_Research automatic_summarization video_retrieval ASR
  • Bayesian feature and model selection for Gaussian mixture models
    Transactions on Pattern Analysis and Machine Intelligence, Vol. 28, No. 6. (2006), pp. 1013-1018.
    by C Constantinopoulos, MK Titsias, A Likas
    posted to graphical-model metric-learning mixture-model toread by jekky on 2008-01-12 14:38:51 as *****
  • On learning asymmetric dissimilarity measures
    Data Mining, Fifth IEEE International Conference on (2005), 4 pp..
    by K Kummamuru, R Krishnapuram, R Agrawal
    posted to learning metric-learning toread by jekky on 2007-06-24 14:10:04 as ***** along with 4 groups CMU-HCII Blog_and_Wiki_Research automatic_summarization ASR
  • Metric Learning by Collapsing Classes
    by Amir G School
    posted to metric-learning machine-learning by babakap on 2008-01-26 16:32:36 as read
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