jung_dalglish's library 43 articles Export

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	Spectral Graph Theory (CBMS Regional Conference Series in Mathematics, No. 92) (Cbms Regional Conference Series in Mathematics) [My Copy] (06 February 1997) by Fan R. K. Chung posted to graph-theory spectral-theory by jung_dalglish on 2008-02-03 09:36:09 as along with 7 people and 4 groups donade jekky BarrosH filippone sdvillal bigbossman dragonrez CMU-HCII Blog_and_Wiki_Research automatic_summarization ASR
	Semi-Supervised Learning (Adaptive Computation and Machine Learning) [My Copy] (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 11 people dpdearing cdepablo eddymier liamtoh333 thefillm jekky sdvillal ecome bundschu worldsun davidr
	The Nature of Statistical Learning Theory (Information Science and Statistics) [My Copy] (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 18 people pjcite lbustio bayesian gstiglic brian thefillm yaroslavvb creswick mthomure sdvillal atbrew girschick nmdang navil teesid ecome jaonary akastrin
	Convex Optimization [My Copy] (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 31 people and 2 groups CEhrler colass abellogin vgauthier gtdj thomast3 martinthesis sbarthelme Mnourian ansobol yaroslavvb gyuli dariusb joeionnojitsu pjliu BarrosH mh olethros sdvillal NeilInCanadia ngoncalves atbrew paulinus alexv teesid BrianTomasik gixgax daniel51 samedina chinkeong MarkEveritt Autonomous_Vehicles Networked_Control_Systems
	Kernel Methods for Pattern Analysis [My Copy] (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 17 people and 3 groups gavin1332 rramirezp vlasto thefillm sb-3000 davidr nello MatMay bayesian lyongu klaudius filippone sdvillal ecome librain kozaki quianominorleo Computational-Genomics Pattern-Analysis LTN
	Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming [My Copy] In KDD '07: Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining (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
	YALMIP : A Toolbox for Modeling and Optimization in MATLAB [My Copy] In Proceedings of the CACSD Conference (2004) by J. Löfberg posted to convex-optimization matlab by jung_dalglish on 2008-02-04 18:36:59 as
	On Kernel-Target Alignment [My Copy] Advances in Neural Information Processing Systems 14: Proceedings of the 2002 Conference (2002) by N. Cristianini, Shawe J. Taylor, B. O. 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 [My Copy] 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 [My Copy] Semisupervised Learning. MIT Press: Cambridge, MA (2006) by L. K. Saul, K. Q. Weinberger, J. H. Ham, F. Sha, D. D. Lee posted to manifold-learning by jung_dalglish on 2008-02-03 14:25:31 as
	Statistical Pattern Recognition Toolbox for Matlab [My Copy] 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 [My Copy] by L. J. P. van der Maaten, U. Maastricht posted to matlab by jung_dalglish on 2008-02-03 13:09:51 as
	Local alignment kernels for protein sequences [My Copy] (2004) by J. P. Vert, H. Saigo, T. Akutsu posted to bioinformatics kernel-method by jung_dalglish on 2008-02-03 11:59:19 as
	Distance Metric Learning with Application to Clustering with Side-Information [My Copy] In Advances in Neural Information Processing Systems 15 (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
	Marginal Fisher Analysis and Its Variants for Human Gait Recognition and Content- Based Image Retrieval [My Copy] Image Processing, IEEE Transactions on In 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
	A New Semidefinite Programming Bound for Indefinite Quadratic Forms Over a Simplex [My Copy] 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
	UCI Machine Learning Repository [My Copy] (2007) by A. Asuncion, D. J. 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 [My Copy] 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
	Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning) [My Copy] (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 16 people and 2 groups MajorTomm lbustio vertikalist shrikondra inayatkh sbarthelme thefillm sdvillal AbnerCYH raiyar wenhan librain robotact singhsh ecome quianominorleo BTS-PT-AS-CS Medical Image Analysis and Visualization @ OSU
	The Elements of Statistical Learning [My Copy] (30 July 2003) by T. Hastie, R. Tibshirani, J. H. Friedman posted to machine-learning pattern-recognition statistics by jung_dalglish on 2008-02-01 05:35:19 as along with 58 people and 11 groups emailhy donnachie singhsh abellogin mahmoodr lop idlebrain makrehchi awarlau gabriprat gokopal alexeigor liamtoh333 amsantos minrmw brian eddymier roys akastrin robotact thefillm 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 blueskies Repton quianominorleo jaonary LDA and dimension reduction techniques CMU-HCII Blog_and_Wiki_Research automatic_summarization ReadingLab ur-cls ASR EvolutionaryComputation Metaheuristics Optimization CSBBGraphTheory
	Local discriminant embedding and its variants [My Copy] Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on In 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 [My Copy] In Advances in Neural Information Processing Systems 19 (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 3 people idlebrain caicai teesid
	Local Fisher discriminant analysis for supervised dimensionality reduction [My Copy] In ICML '06: Proceedings of the 23rd international conference on Machine learning (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 3 people babakap sdvillal teesid
	Information-theoretic metric learning [My Copy] In ICML '07: Proceedings of the 24th international conference on Machine 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 4 people jekky sdvillal teesid jsr
	Optimal kernel selection in Kernel Fisher discriminant analysis [My Copy] In ICML '06: Proceedings of the 23rd international conference on Machine learning (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 4 people awg2 memming eddymier teesid
	Optimal dimensionality of metric space for classification [My Copy] In ICML '07: Proceedings of the 24th international conference on Machine learning (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 along with 2 people cholwich sdvillal
	Spectral Partitioning with Indefinite Kernels Using the Nyström Extension [My Copy] In ECCV '02: Proceedings of the 7th European Conference on Computer Vision-Part III (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
	Spectral grouping using the Nystrom method [My Copy] Transactions on Pattern Analysis and Machine Intelligence In 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
	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 [My Copy] In AAAI (2006) posted to metric-learning by jung_dalglish on 2008-02-03 11:37:18 as
	An Efficient Algorithm for Local Distance Metric Learning [My Copy] In AAAI (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 along with 1 person caicai
	Stability and Generalization [My Copy] 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 along with 1 person caramanis
	A Generalized Representer Theorem [My Copy] In COLT '01/EuroCOLT '01: Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory (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 along with 1 person teesid
	Graph Embedding and Extensions: A General Framework for Dimensionality Reduction [My Copy] 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 along with 4 people and 1 group xtizon sdvillal zoop mdreid Statistical Machine Learning
	Neighbourhood Components Analysis [My Copy] In Advances in Neural Information Processing Systems 17 (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
	A Global Geometric Framework for Nonlinear Dimensionality Reduction [My Copy] Science, Vol. 290, No. 5500. (22 December 2000), pp. 2319-2323. by J. B. Tenenbaum, V. de Silva, J. C. Langford posted to manifold-learning mds by jung_dalglish on 2007-12-24 10:22:18 as along with 30 people and 4 groups pingmei seb1 Cavadini akuhn banus caicai klmoravec weiweiguo rramirezp babakap dcoates thefillm christofseiler qwermish egozi aufrank k12u yas metamerist yama_tah tag mthomure sdvillal dgront voiklis dwf DavidSchulz teesid mctor matjes ur-cls T_lab metric_embeddings ColDyn
	A tutorial on spectral clustering [My Copy] 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 along with 9 people and 1 group havr theus jonilaserson mapio zzb3886 erhanbas zeppe pprett AbnerCYH Graph based learning
	Robust Euclidean embedding [My Copy] In ICML '06: Proceedings of the 23rd international conference on Machine learning (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 along with 2 people babakap teesid
	Nonlinear Dimensionality Reduction by Locally Linear Embedding [My Copy] Science, Vol. 290, No. 5500. (2000), pp. 2323-2326. by S. T. Roweis, L. K. Saul posted to manifold-learning by jung_dalglish on 2007-12-22 02:42:30 as along with 2 people and 1 group lewfish teesid UT-SPAIR
	Learning the kernel matrix by maximizing a KFD-based class separability criterion [My Copy] 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 along with 2 people teesid jccaicedo
	Learning the Kernel Matrix with Semidefinite Programming [My Copy] J. Mach. Learn. Res., Vol. 5 (2004), pp. 27-72. by Gert R. G. 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 along with 6 people awg2 ajbattle tmmurali Redrobot teesid jccaicedo
	Metric learning by collapsing classes [My Copy] 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 along with 1 person teesid
	Distance metric learning for large margin nearest neighbor classification [My Copy] 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 along with 1 person teesid
	A transductive framework of distance metric learning by spectral dimensionality reduction [My Copy] In ICML '07: Proceedings of the 24th international conference on Machine learning (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

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metric-learning	15
manifold-learning	10
kernel-method	9
fda	6
gram-matrix-learning	5
learning-theory	5
machine-learning	5
pattern-recognition	4
spectral-clustering	4
clustering	3
matlab	3
bioinformatics	2
large-scale	2
mds	2
opt	2
svm	2
convex	1
convex-optimization	1
graph-theory	1
non-convex	1
optimization	1
spectral-theory	1
speech-recognition	1
statistics	1

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