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jung_dalglishs library [43 articles]

Senaste artiklarna i jung_dalglishs bibliotek.
  • YALMIP : A Toolbox for Modeling and Optimization in MATLAB
    (2004)
    by J Löfberg
    posted to convex-optimization matlab by jung_dalglish on 2008-02-04 18:36:59 as ***
  • On Kernel-Target Alignment
    Advances in Neural Information Processing Systems 14: Proceedings of the 2002 Conference (2002)
    by N Cristianini, Shawe J Taylor, BO Technologies, A Elisseeff, J Kandola
    posted to kernel-method learning-theory by jung_dalglish on 2008-02-04 03:50:19 as ***
  • Learning Spectral Clustering, With Application To Speech Separation
    Journal of Machine Learning Research, Vol. 7 (October 2006), pp. 1963-2001.
    by Francis R Bach, Michael I Jordan
    posted to spectral-clustering speech-recognition by jung_dalglish on 2008-02-04 03:31:31 as *** along with 1 person asterix77
  • Spectral methods for dimensionality reduction
    Semisupervised Learning. MIT Press: Cambridge, MA (2006)
    by LK Saul, KQ Weinberger, JH Ham, F Sha, DD Lee
    posted to manifold-learning by jung_dalglish on 2008-02-03 14:25:31 as ***
  • 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
  • Statistical Pattern Recognition Toolbox for Matlab
    Prague, Czech: Center for Machine Perception, Czech Technical University (2004)
    by V Franc, V Hlavac
    posted to matlab by jung_dalglish on 2008-02-03 13:13:17 as ***
  • An Introduction to Dimensionality Reduction Using Matlab
    by LJP van der Maaten, U Maastricht
    posted to matlab by jung_dalglish on 2008-02-03 13:09:51 as ***
  • UCI Machine Learning Repository
    (2007)
    by A Asuncion, DJ Newman
    posted to machine-learning pattern-recognition by jung_dalglish on 2008-02-03 12:51:45 as **
  • A Kernel for Protein Secondary Structure Prediction
    Kernel Methods in Computational Biology (2004)
    by Y Guermeur, A Lifchitz, R Vert
    posted to bioinformatics kernel-method by jung_dalglish on 2008-02-03 12:17:45 as **
  • Local alignment kernels for protein sequences
    (2004)
    by JP Vert, H Saigo, T Akutsu
    posted to bioinformatics kernel-method by jung_dalglish on 2008-02-03 11:59:19 as ***
  • Spectral Partitioning with Indefinite Kernels Using the Nyström Extension
    (2002), pp. 531-542.
    by Serge Belongie, Charless Fowlkes, Fan Chung, Jitendra Malik
    posted to large-scale spectral-clustering by jung_dalglish on 2008-02-03 11:46:02 as read
  • Spectral grouping using the Nystrom method
    Transactions on Pattern Analysis and Machine Intelligence, Vol. 26, No. 2. (2004), pp. 214-225.
    by C Fowlkes, S Belongie, F Chung, J Malik
    posted to large-scale spectral-clustering by jung_dalglish on 2008-02-03 11:44:27 as read
  • Proceedings, The Twenty-First National Conference on Artificial Intelligence and the Eighteenth Innovative Applications of Artificial Intelligence Conference, July 16-20, 2006, Boston, Massachusetts, USA
    (2006)
    posted to metric-learning by jung_dalglish on 2008-02-03 11:37:18 as read
  • An Efficient Algorithm for Local Distance Metric Learning
    (2006)
    by Liu Yang, Rong Jin, Rahul Sukthankar, Yi Liu
    posted to metric-learning by jung_dalglish on 2008-02-03 11:37:18 as read
  • Distance Metric Learning with Application to Clustering with Side-Information
    (2003), pp. 505-512.
    by Eric P Xing, Andrew Y Ng, Michael I Jordan, Stuart Russell
    edited by Thrun, K Obermayer
    posted to clustering metric-learning by jung_dalglish on 2008-02-03 09:38:36 as ***
  • Spectral Graph Theory (CBMS Regional Conference Series in Mathematics, No. 92) (Cbms Regional Conference Series in Mathematics)
    (06 February 1997)
    by Fan RK Chung
    posted to graph-theory spectral-theory by jung_dalglish on 2008-02-03 09:36:09 as ***** along with 6 people and 4 groups dragonrez jekky BarrosH filippone sdvillal bigbossman CMU-HCII Blog_and_Wiki_Research automatic_summarization ASR
  • 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 6 people davidr jekky sdvillal ecome bundschu worldsun
  • Stability and Generalization
    Journal of Machine Learning Research, Vol. 2 (March 2002), pp. 499-526.
    by Olivier Bousquet, André Elisseeff
    posted to learning-theory by jung_dalglish on 2008-02-03 09:17:45 as read along with 1 person caramanis
  • A Generalized Representer Theorem
    (2001), pp. 416-426.
    by Bernhard Schölkopf, Ralf Herbrich, Alex J Smola
    posted to kernel-method learning-theory by jung_dalglish on 2008-02-03 09:14:55 as read along with 1 person teesid
  • 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
  • Neighbourhood Components Analysis
    (2005), pp. 513-520.
    by Jacob goldberger, Sam roweis, Geoffrey hinton, Ruslan salakhutdinov
    edited by Lawrence K Saul, Yair Weiss, léon Bottou
    posted to metric-learning by jung_dalglish on 2008-02-03 09:09:23 as read
  • Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning)
    (15 December 2001)
    by Bernhard Schölkopf, Alexander J Smola
    posted to kernel-method learning-theory machine-learning pattern-recognition by jung_dalglish on 2008-02-01 05:40:47 as ** along with 9 people and 1 group quianominorleo ecome sdvillal AbnerCYH raiyar wenhan librain robotact singhsh Medical Image Analysis and Visualization @ OSU
  • Kernel Methods for Pattern Analysis
    (28 June 2004)
    by John Shawe-Taylor, Nello Cristianini
    posted to kernel-method machine-learning pattern-recognition by jung_dalglish on 2008-02-01 05:40:03 as **** along with 13 people and 3 groups quianominorleo sb-3000 davidr nello MatMay bayesian lyongu klaudius filippone sdvillal ecome librain kozaki Computational-Genomics Pattern-Analysis LTN
  • The Elements of Statistical Learning
    (09 August 2001)
    by T Hastie, R Tibshirani, JH Friedman
    posted to machine-learning pattern-recognition statistics by jung_dalglish on 2008-02-01 05:35:19 as ** along with 39 people and 10 groups jaonary quianominorleo Repton blueskies amirsaffari ansobol pdlug yaroslavvb bigga jelsas davidr gyuli garyfeng aufrank neteler leidner chad_davis jekky balajis Jaykul balicea sdvillal donade bigbossman sbarthelme bedo AbnerCYH nojhan bamberg kgajos raiyar deysandeep petrposik dbgrant nmdang alfirk brianmc dquercia robotact CMU-HCII Blog_and_Wiki_Research automatic_summarization ReadingLab ur-cls ASR EvolutionaryComputation Metaheuristics Optimization CSBBGraphTheory
  • 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 ***
  • 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
  • Large Margin Component Analysis
    (2007), pp. 1385-1392.
    by Lorenzo Torresani, Kuang C Lee
    edited by B Schölkopf, J Platt, T Hoffman
    posted to manifold-learning metric-learning by jung_dalglish on 2008-01-31 10:34:58 as ** along with 1 person teesid
  • Local Fisher discriminant analysis for supervised dimensionality reduction
    (2006), pp. 905-912.
    by Masashi Sugiyama
    posted to fda manifold-learning metric-learning by jung_dalglish on 2008-01-31 10:32:07 as ** along with 2 people sdvillal teesid
  • A global geometric framework for nonlinear dimensionality reduction.
    Science, Vol. 290, No. 5500. (22 December 2000), pp. 2319-2323.
    by JB Tenenbaum, V de Silva, JC Langford
    posted to manifold-learning mds by jung_dalglish on 2007-12-24 10:22:18 as read along with 15 people and 4 groups matjes aufrank k12u yas metamerist yama_tah tag mthomure sdvillal dgront voiklis dwf DavidSchulz teesid mctor ur-cls T_lab metric_embeddings ColDyn
  • A tutorial on spectral clustering
    Statistics and Computing, Vol. 17, No. 4. (11 December 2007), pp. 395-416.
    by Ulrike von Luxburg
    posted to clustering spectral-clustering by jung_dalglish on 2007-12-22 02:52:56 as read along with 1 person zeppe
  • 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 jung_dalglish on 2007-12-22 02:47:35 as ** along with 3 people sdvillal teesid jsr
  • The Nature of Statistical Learning Theory (Information Science and Statistics)
    (19 November 1999)
    by Vladimir N Vapnik
    posted to kernel-method learning-theory svm by jung_dalglish on 2007-12-22 02:46:59 as ***** along with 12 people akastrin jaonary ecome yaroslavvb creswick mthomure sdvillal atbrew girschick nmdang navil teesid
  • Convex Optimization
    (08 March 2004)
    by Stephen Boyd, Lieven Vandenberghe
    posted to convex opt optimization by jung_dalglish on 2007-12-22 02:45:39 as ***** along with 22 people and 2 groups MarkEveritt chinkeong samedina daniel51 gixgax ansobol yaroslavvb gyuli dariusb joeionnojitsu pjliu BarrosH mh olethros sdvillal NeilInCanadia ngoncalves atbrew paulinus alexv teesid BrianTomasik Autonomous_Vehicles Networked_Control_Systems
  • Robust Euclidean embedding
    (2006), pp. 169-176.
    by Lawrence Cayton, Sanjoy Dasgupta
    posted to manifold-learning mds by jung_dalglish on 2007-12-22 02:44:51 as read along with 1 person teesid
  • Nonlinear Dimensionality Reduction by Locally Linear Embedding
    Science, Vol. 290, No. 5500. (2000), pp. 2323-2326.
    by ST Roweis, LK Saul
    posted to manifold-learning by jung_dalglish on 2007-12-22 02:42:30 as read along with 2 people and 1 group lewfish teesid UT-SPAIR
  • Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming
    (2007), pp. 854-863.
    by Jieping Ye, Shuiwang Ji, Jianhui Chen
    posted to fda gram-matrix-learning by jung_dalglish on 2007-12-22 02:41:51 as **** along with 1 person teesid
  • Optimal kernel selection in Kernel Fisher discriminant analysis
    (2006), pp. 465-472.
    by Seung-Jean Kim, Alessandro Magnani, Stephen Boyd
    posted to fda gram-matrix-learning by jung_dalglish on 2007-12-22 02:37:46 as ** along with 1 person teesid
  • A New Semidefinite Programming Bound for Indefinite Quadratic Forms Over a Simplex
    Journal of Global Optimization, Vol. 14, No. 4. (21 June 1999), pp. 357-364.
    by Ivo Nowak
    posted to non-convex opt by jung_dalglish on 2007-12-22 02:37:21 as *** along with 1 person teesid
  • Learning the kernel matrix by maximizing a KFD-based class separability criterion
    Pattern Recognition, Vol. 40, No. 7. (July 2007), pp. 2021-2028.
    by Dit-Yan Yeung, Hong Chang, Guang Dai
    posted to fda gram-matrix-learning by jung_dalglish on 2007-12-22 02:35:44 as read along with 2 people jccaicedo teesid
  • Learning the Kernel Matrix with Semidefinite Programming
    J. Mach. Learn. Res., Vol. 5 (2004), pp. 27-72.
    by Gert RG Lanckriet, Nello Cristianini, Peter Bartlett, Laurent E Ghaoui, Michael I Jordan
    posted to gram-matrix-learning svm by jung_dalglish on 2007-12-22 02:34:16 as read along with 4 people jccaicedo tmmurali Redrobot teesid
  • Metric learning by collapsing classes
    Advances in Neural Information Processing Systems, Vol. 18 (2006), pp. 451-458.
    by A Globerson, S Roweis
    posted to metric-learning by jung_dalglish on 2007-12-22 02:32:56 as read along with 1 person teesid
  • Distance metric learning for large margin nearest neighbor classification
    Advances in Neural Information Processing Systems, Vol. 18 (2006), pp. 1473-1480.
    by K Weinberger, J Blitzer, L Saul
    posted to metric-learning by jung_dalglish on 2007-12-22 02:30:21 as read along with 1 person teesid
  • 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
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