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	Visualizing Data using t-SNE [My Copy] Journal of Machine Learning Research, Vol. 9 (November 2008), pp. 2579-2605. by Laurens van der Maaten, Geoffrey Hinton posted to dimension-reduction locality nearest-neighbors spectral visualization by sdvillal on 2008-12-05 09:58:18 as along with 2 people iggykay svozil
	Less is More: Compact Matrix Decomposition for Large Sparse Graphs [My Copy] In SDM (2007) by Jimeng Sun, Yinglian Xie, Hui Zhang, Christos Faloutsos posted to dimension-reduction graphs learning-on-graphs occ-applications occ-high-dimensional occ-others scalability semi-supervised spectral by sdvillal on 2008-04-16 09:23:18 as along with 1 person duce
	Learning a Maximum Margin Subspace for Image Retrieval [My Copy] IEEE Trans. on Knowl. and Data Eng., Vol. 20, No. 2. (February 2008), pp. 189-201. by Xiaofei He, Deng Cai, Jiawei Han posted to active-learning dimension-reduction image-processing multimedia-ir spectral by sdvillal on 2008-04-06 11:18:07 as along with 1 person Mohan-S
	Orthogonal neighborhood preserving projections [My Copy] Data Mining, Fifth IEEE International Conference on (2005), 8 pp.. by E. Kokiopoulou, Y. Saad posted to dimension-reduction locality spectral by sdvillal on 2007-06-13 10:38:16 as
	Neighborhood Preserving Projections (NPP): A Novel Linear Dimension Reduction Method [My Copy] Advances in Intelligent Computing (2005), pp. 117-125. by Yanwei Pang, Lei Zhang, Zhengkai Liu, Nenghai Yu, Houqiang Li posted to dimension-reduction locality spectral by sdvillal on 2007-06-13 10:35:50 as
	Neighborhood preserving embedding [My Copy] Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference on In ICCV '05: Proceedings of the Tenth IEEE International Conference on Computer Vision, Vol. 2 (05 December 2005), pp. 1208-1213 Vol. 2. by Xiaofei He, Deng Cai, Shuicheng Yan, Hong-Jiang Zhang posted to dimension-reduction locality spectral by sdvillal on 2007-06-08 19:09:06 as along with 2 people caicai mctor
	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 dimension-reduction spectral by sdvillal on 2007-06-08 17:00:38 as along with 4 people and 1 group xtizon zoop mdreid jung_dalglish Statistical Machine Learning
	Improving Embeddings by Flexible Exploitation of Side Information [My Copy] In Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI-07) (2007) by Ali Ghodsi, Dana Wilkinson, Finnegan Southey posted to dimension-reduction distance-metrics spectral by sdvillal on 2007-03-08 20:09:53 as
	Manifold Learning and Applications in Recognition [My Copy] (2004) by J. Zhang, S. Li, J. Wang posted to dimension-reduction spectral by sdvillal on 2007-02-28 12:12:14 as
	Distance Metric Learning: A Comprehensive Survey [My Copy] (19 May 2006) by Liu Yang posted to dimension-reduction distance-metrics spectral by sdvillal on 2007-02-28 12:01:50 as
	Clustering via kernel decomposition [My Copy] Neural Networks, IEEE Transactions on, Vol. 17, No. 1. (2006), pp. 256-264. by A. Szymkowiak-Have, M. A. Girolami, J. Larsen posted to distance-metrics spectral by sdvillal on 2007-02-16 17:56:37 as
	Laplacian eigenmaps and spectral techniques for embedding and clustering [My Copy] (2002) by M. Belkin, P. Niyogi posted to spectral dimension-reduction by sdvillal on 2007-02-11 11:59:02 as along with 3 people xtizon filippone tarampam
	Gene Selection via a Spectral Approach [My Copy] In CVPR '05: Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops (2005) by L. Wolf, A. Shashua, S. Mukherjee posted to spectral feature-selection dimension-reduction by sdvillal on 2007-02-03 14:11:53 as
	Nonlinear Dimensionality Reduction Using Circuit Models [My Copy] : Image Analysis In Image Analysis (2005), pp. 950-959. by Fredrik Andersson, Jens Nilsson posted to spectral locality dimension-reduction by sdvillal on 2007-01-26 14:28:28 as
	Building connected neighborhood graphs for isometric data embedding [My Copy] In KDD '05: Proceeding of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining (2005), pp. 722-728. by Li Yang posted to spectral locality dimension-reduction by sdvillal on 2007-01-26 14:26:48 as
	Distance-preserving projection of high-dimensional data for nonlinear dimensionality reduction [My Copy] Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 26, No. 9. (2004), pp. 1243-1246. by Li Yang posted to spectral dimension-reduction by sdvillal on 2007-01-26 14:25:22 as
	The Isomap Algorithm and Topological Stability [My Copy] Science, Vol. 295, No. 5552. (4 January 2002), pp. 7-7. by M. Balasubramanian, E. L. Schwartz posted to spectral locality dimension-reduction by sdvillal on 2007-01-26 14:19:06 as along with 3 people klmoravec r2s2 kenji4569
	Data embedding techniques and applications [My Copy] In CVDB '05: Proceedings of the 2nd international workshop on Computer vision meets databases (2005), pp. 29-33. by Li Yang posted to spectral dimension-reduction by sdvillal on 2007-01-18 15:57:25 as
	Principal Manifolds and Nonlinear Dimensionality Reduction via Tangent Space Alignment [My Copy] SIAM J. Sci. Comput., Vol. 26, No. 1. (2005), pp. 313-338. by Zhenyue Zhang, Hongyuan Zha posted to spectral intrinsic-dimension-estimation dimension-reduction by sdvillal on 2007-01-18 15:55:49 as along with 1 person mctor
	Isometric embedding and continuum isomap [My Copy] (2003) by H. Zha, Z. Zhang posted to spectral intrinsic-dimension-estimation dimension-reduction by sdvillal on 2007-01-18 15:53:44 as along with 1 person gane5h
	Locality Preserving Projections [My Copy] (2005) by Xiaofei He posted to 20070622 dimension-reduction lpp spectral by sdvillal on 2007-01-17 17:38:24 as
	Quantitative Measures of Change based on Feature Organization: Eigenvalues and Eigenvectors [My Copy] In CVPR '96: Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96) (1996) by Sudeep Sarkar, Kim L. Boyer posted to spectral by sdvillal on 2007-01-17 15:34:51 as along with 1 person chrisatcite
	Feature Selection for Unsupervised and Supervised Inference: The Emergence of Sparsity in a Weight-Based Approach [My Copy] J. Mach. Learn. Res., Vol. 6 (2005), pp. 1855-1887. by Lior Wolf, Amnon Shashua posted to 20070622 dimension-reduction feature-selection spectral by sdvillal on 2007-01-17 13:24:51 as
	Dimensionality reduction of multimodal labeled data by local Fisher discriminant analysis. [My Copy] (2006) by Masashi Sugiyama posted to spectral lpp fda dimension-reduction by sdvillal on 2007-01-17 10:46:31 as
	Problems of Learning on Manifolds [My Copy] (August 2003) by Mikhail Belkin posted to dimension-reduction semi-supervised spectral by sdvillal on 2006-12-07 13:35:33 as
	Learning Eigenfunctions Links Spectral Embedding and Kernel PCA [My Copy] Neural Comput. In Neural Computation, Vol. 16, No. 10. (1 October 2004), pp. 2197-2219. by Yoshua Bengio, Olivier Delalleau, Nicolas Le Roux, Jean-Francois Paiement, Pascal Vincent, Marie Ouimet posted to dimension-reduction kernel-machines spectral by sdvillal on 2006-10-24 06:09:55 as along with 1 person ihaque
	The fastest mixing Markov process on a graph and a connection to a maximum variance unfolding problem [My Copy] by J. Sun, S. Boyd, L. Xiao, P. Diaconis posted to dimension-reduction spectral by sdvillal on 2006-10-23 17:24:33 as
	Learning high-dimensional correspondences from low-dimensional manifolds [My Copy] In Workshop on The Continuum from Labeled to Unlabled Data in Machine Learning and Data Mining at Twentieth International Conference on Machine Learning (2003), pp. 34-39. by J. Ham, D. D. Lee, L. K. Saul posted to dimension-reduction spectral by sdvillal on 2006-10-22 19:11:33 as
	Spectral Graph Theory (CBMS Regional Conference Series in Mathematics, No. 92) [My Copy] (06 February 1997) by Fan R. K. Chung posted to spectral by sdvillal on 2006-10-22 18:28:57 as along with 8 people and 4 groups mtepper donade jekky BarrosH filippone bigbossman jung_dalglish dragonrez CMU-HCII Blog_and_Wiki_Research automatic_summarization ASR
	Segmentation Using Eigenvectors: A Unifying View [My Copy] In ICCV '99: Proceedings of the International Conference on Computer Vision-Volume 2 (1999) by Yair Weiss posted to spectral by sdvillal on 2006-10-22 18:24:59 as along with 1 person gane5h
	A kernel view of the dimensionality reduction of manifolds [My Copy] In ICML '04: Proceedings of the twenty-first international conference on Machine learning (2004), 47. by Jihun Ham, Daniel D. Lee, Sebastian Mika, Bernhard Schölkopf posted to dimension-reduction kernel-machines spectral by sdvillal on 2006-10-22 17:13:43 as along with 4 people singhsh fabgoos nliu82 gane5h
	Learning a kernel matrix for nonlinear dimensionality reduction [My Copy] In ICML '04: Proceedings of the twenty-first international conference on Machine learning (2004), 106. by Kilian Q. Weinberger, Fei Sha, Lawrence K. Saul posted to dimension-reduction kernel-machines spectral by sdvillal on 2006-10-22 17:11:01 as along with 5 people and 1 group stober awg2 amargoli bpacker jccaicedo vision-ng
	Graph Regularization for Maximum Variance Unfolding, with an Application to Sensor Localization [My Copy] In Advances in Neural Information Processing Systems 19 (2007) by Kilian Weinberger, Fei Sha, Qihui Zhu, Lawrence Saul edited by B. Schölkopf, J. Platt, Thomas Hofmann posted to dimension-reduction spectral by sdvillal on 2006-10-22 10:23:49 as
	Face recognition with weighted locally linear embedding [My Copy] The 2nd Canadian Conference on Computer and Robot Vision, 2005. Proceedings. The 2nd Canadian Conference on In The 2nd Canadian Conference on Computer and Robot Vision (2005), pp. 290-296. by N. Mekuz, C. Bauckhage, J. K. Tsotsos posted to dimension-reduction spectral by sdvillal on 2006-10-21 18:19:28 as
	Analysis and extension of spectral methods for nonlinear dimensionality reduction [My Copy] In ICML '05: Proceedings of the 22nd international conference on Machine learning (2005), pp. 784-791. by Fei Sha, Lawrence K. Saul posted to dimension-reduction spectral by sdvillal on 2006-10-19 18:03:02 as
	Hessian eigenmaps: Locally linear embedding techniques for high-dimensional data [My Copy] PNAS, Vol. 100, No. 10. (13 May 2003), pp. 5591-5596. by David L. Donoho, Carrie Grimes posted to dimension-reduction spectral by sdvillal on 2006-10-19 15:47:53 as along with 4 people jzujovic whereisravi kliger tarampam
	Unsupervised Learning of Image Manifolds by Semidefinite Programming [My Copy] International Journal of Computer Vision, Vol. 70, No. 1. (1 October 2006), pp. 77-90. by Kilian Weinberger, Lawrence Saul posted to dimension-reduction spectral by sdvillal on 2006-10-19 15:33:43 as along with 8 people dakelley stober jzujovic babakap yairgo haidai singhsh mctor
	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 posted to dimension-reduction spectral by sdvillal on 2006-10-18 18:24:05 as along with 31 people and 4 groups deif pingmei seb1 Cavadini akuhn banus caicai klmoravec weiweiguo rramirezp babakap dcoates thefillm christofseiler qwermish egozi aufrank k12u yas metamerist yama_tah tag mthomure dgront voiklis dwf DavidSchulz teesid jung_dalglish mctor matjes ur-cls T_lab metric_embeddings ColDyn
	Nonlinear Dimensionality Reduction by Locally Linear Embedding [My Copy] Science, Vol. 290, No. 5500. (22 December 2000), pp. 2323-2326. by Sam T. Roweis, Lawrence K. Saul posted to dimension-reduction spectral by sdvillal on 2006-10-18 18:13:43 as along with 35 people and 4 groups mtepper pingmei Cavadini singhsh caicai tfx klmoravec jzujovic rramirezp Scis0000002 ajbattle shpigi thefillm jtbassic babakap qwermish briordan weiweiguo egozi yaroslavvb gangli yas yama_tah filippone tag dgront walkking jguinney kenji4569 DavidSchulz mdramirez mctor amargoli matjes eddymier tulip T_lab metric_embeddings Computer_Graphics
	The Principal Components Analysis of a Graph, and Its Relationships to Spectral Clustering. [My Copy] In ECML (2004), pp. 371-383. by Marco Saerens, Francois Fouss, Luh Yen, Pierre Dupont posted to spectral by sdvillal on 2006-10-18 18:04:58 as along with 1 person gane5h
	Kernel Feature Selection [My Copy] (2003) by Lior Wolf, Amnon Shashua posted to dimension-reduction kernel-machines spectral by sdvillal on 2006-10-18 13:04:07 as along with 3 people tmancill sugarexpletive eacosta
	Think globally, fit locally: unsupervised learning of low dimensional manifolds [My Copy] J. Mach. Learn. Res., Vol. 4 (2003), pp. 119-155. by Lawrence K. Saul, Sam T. Roweis posted to dimension-reduction spectral by sdvillal on 2006-10-18 12:05:50 as along with 3 people and 2 groups yaroslavvb gangli tag tulip metric_embeddings
	On spectral clustering: Analysis and an algorithm [My Copy] In Advances in Neural Information Processing Systems, Vol. 14 (2001) by Andrew Y. Ng, Michael I. Jordan, Yair Weiss edited by T. G. Dietterich, S. Becker, Z. Ghahramani posted to 20070622 clustering spectral by sdvillal on 2006-10-15 17:47:02 as along with 1 person fwkroon
	Locality preserving clustering for image database [My Copy] In MULTIMEDIA '04: Proceedings of the 12th annual ACM international conference on Multimedia (2004), pp. 885-891. by Xin Zheng, Deng Cai, Xiaofei He, Wei-Ying Ma, Xueyin Lin posted to dimension-reduction multimedia-ir spectral by sdvillal on 2006-10-15 17:42:03 as
	Locality Preserving Projections. [My Copy] In NIPS (2003) by Xiaofei He, Partha Niyogi posted to 20070622 dimension-reduction spectral by sdvillal on 2006-10-15 17:39:52 as along with 1 person blog01
	Statistical and computational analysis of locality preserving projection [My Copy] In ICML '05: Proceedings of the 22nd international conference on Machine learning (2005), pp. 281-288. by Xiaofei He, Deng Cai, Wanli Min posted to dimension-reduction spectral by sdvillal on 2006-10-15 17:35:54 as
	Face Recognition Using Laplacianfaces [My Copy] IEEE Trans. Pattern Anal. Mach. Intell., Vol. 27, No. 3. (2005), pp. 328-340. by Xiaofei He, Shuicheng Yan, Yuxiao Hu, Partha Niyogi posted to dimension-reduction spectral by sdvillal on 2006-10-15 17:30:19 as along with 7 people and 4 groups florianschroff handee Liuftvafas babakap jekky zoop mctor CMU-HCII Blog_and_Wiki_Research automatic_summarization ASR
	An algorithm for semi-supervised learning in image retrieval [My Copy] Pattern Recognition, Vol. 39, No. 4. (April 2006), pp. 717-720. by Ke Lu, Jidong Zhao, Deng Cai posted to dimension-reduction kernel-machines semi-supervised spectral by sdvillal on 2006-10-15 17:28:26 as along with 4 people and 1 group thsant seudonimo_falso kozaki thienanh video_retrieval
	Using Manifold Structure for Partially Labelled Classification [My Copy] In NIPS (2002), 929. by Mikhail Belkin, Partha Niyogi posted to dimension-reduction semi-supervised spectral by sdvillal on 2006-10-15 12:48:52 as along with 1 person mthomure
	Eigenproblems in Pattern Recognition [My Copy] In Handbook of Geometric Computing : Applications in Pattern Recognition, Computer Vision, Neuralcomputing, and Robotics (2005), pp. 129-170. by T. De Bie, N. Cristianini, R. Rosipal edited by Bayro E. Corrochano posted to dimension-reduction spectral by sdvillal on 2006-10-07 15:37:03 as along with 1 person iditeru

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sdvillal's spectral [63 articles] Export Sort

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