jung_dalglish's metric-learning [15 articles] Export

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	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
	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
	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
	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 12 people leisti dpdearing cdepablo eddymier liamtoh333 thefillm jekky sdvillal ecome bundschu worldsun davidr
	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
	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
	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
	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

jung_dalglish's metric-learning [15 articles] Export

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