jccaicedo's t-learning [67 articles] Export

Recent papers added to jccaicedo's library classified by the tag t-learning. You can also see everyone's t-learning.

	Robust Face Recognition via Sparse Representation [My Copy] Pattern Analysis and Machine Intelligence, IEEE Transactions on In Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 31, No. 2. (03 April 2008), pp. 210-227. by J. Wright, A. Y. Yang, A. Ganesh, S. S. Sastry, Yi Ma posted to t-learning t-imaging sparse s-collected face by jccaicedo on 2009-11-28 12:06:17 as along with 4 people mctor fabgoos pick600 sugarexpletive
	A New Baseline for Image Annotation [My Copy] In ECCV '08: Proceedings of the 10th European Conference on Computer Vision (2008), pp. 316-329. by Ameesh Makadia, Vladimir Pavlovic, Sanjiv Kumar posted to s-collected t-learning t-retrieval by jccaicedo on 2009-06-09 17:32:26 as
	Optimizing Kernel Alignment over Combinations of Kernel [My Copy] (2002) by J. Kandola, J. Shawe-Taylor, N. Cristianini posted to s-read t-learning by jccaicedo on 2009-03-04 01:38:59 as
	Kernel Methods for Pattern Analysis [My Copy] (2004) by John Shawe-Taylor, Nello Cristianini posted to c-kernels s-toread t-learning by jccaicedo on 2009-03-04 01:00:12 as
	Image Kernels [My Copy] Pattern Recognition with Support Vector Machines (2002), pp. 617-628. by Annalisa Barla, Emanuele Franceschi, Francesca Odone, Alessandro Verri posted to c-kernels s-pending t-imaging t-learning by jccaicedo on 2009-03-04 00:14:54 as
	A Semantic Content-Based Retrieval Method for Histopathology Images [My Copy] Information Retrieval Technology (2008), pp. 51-60. by Juan Caicedo, Fabio Gonzalez, Eduardo Romero posted to journal s-read t-learning t-retrieval by jccaicedo on 2009-03-03 23:29:55 as
	On kernel-target alignment [My Copy] In Advances in Neural Information Processing Systems 14, Vol. 14 (2002), pp. 367-373. by Nello Cristianini, John Shawe-Taylor, Andre Elissee, Jaz Kandola posted to c-kernels journal s-pending t-learning by jccaicedo on 2009-03-03 22:40:37 as along with 1 person rramirezp
	Large Scale Multiple Kernel Learning [My Copy] Journal of Machine Learning Research, Vol. 7 (2006), pp. 1531-1565. by Sören Sonnenburg, Gunnar Rätsch, Christin Schäfer, Bernhard Schölkopf posted to c-kernels s-collected t-learning by jccaicedo on 2008-12-15 19:23:43 as
	Kernel Methods for Relation Extraction [My Copy] Journal of Machine Learning Research, Vol. 3 (2003), pp. 1083-1106. by Dmitry Zelenko, Chinatsu Aone, Anthony Richardella posted to c-kernels s-collected t-learning by jccaicedo on 2008-12-15 19:19:42 as
	Optimizing Learning in Image Retrieval [My Copy] Computer Vision and Pattern Recognition, IEEE Computer Society Conference on, Vol. 1 (2000) by Yong Rui, Thomas Huang posted to s-collected t-learning t-retrieval by jccaicedo on 2008-11-18 16:07:47 as
	Graph based multi-modality learning [My Copy] In MULTIMEDIA '05: Proceedings of the 13th annual ACM international conference on Multimedia (2005), pp. 862-871. by Hanghang Tong, Jingrui He, Mingjing Li, Changshui Zhang, Wei Y. Ma posted to s-collected t-fusion t-learning by jccaicedo on 2008-11-16 02:06:59 as along with 2 people nliu82 davidr
	A Kullback-Leibler divergence based kernel for SVM classification in multimedia applications [My Copy] In In Advances in Neural Information Processing Systems 16 (2003) by Pedro J. Moreno, Purdy P. Ho, Nuno Vasconcelos posted to c-kernels s-pending t-learning by jccaicedo on 2008-08-06 19:42:17 as along with 2 people chocolate2009 Mohan-S
	Jensen-Shannon divergence and Hilbert space embedding [My Copy] Information Theory, 2004. ISIT 2004. Proceedings. International Symposium on In Information Theory, 2004. ISIT 2004. Proceedings. International Symposium on (2004), 31. by B. Fuglede, F. Topsoe posted to c-kernels s-filtered t-learning by jccaicedo on 2008-07-08 21:52:24 as
	Histogram intersection kernel for image classification [My Copy] Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on, Vol. 3 (2003), pp. III-513-16 vol.2. by A. Barla, F. Odone, A. Verri posted to c-kernels s-read t-learning by jccaicedo on 2008-07-08 21:30:13 as along with 3 people and 1 group zoop paolo matjes Bioinformatics
	More efficiency in multiple kernel learning [My Copy] In ICML '07: Proceedings of the 24th international conference on Machine learning (2007), pp. 775-782. by Alain Rakotomamonjy, Francis Bach, Stéphane Canu, Yves Grandvalet posted to c-kernels s-pending t-learning by jccaicedo on 2008-05-10 22:25:33 as along with 1 person liefengbo
	Estimating the Generalization Performance of a SVM Efficiently [My Copy] In Proceedings of ICML-00, 17th International Conference on Machine Learning (2000), pp. 431-438. by Thorsten Joachims edited by Pat Langley posted to c-kernels s-pending t-learning by jccaicedo on 2008-05-10 22:23:38 as along with 1 person scis0000001
	Learning to Classify Text Using Support Vector Machines: Methods, Theory and Algorithms [My Copy] (2002) by Thorsten Joachims posted to s-pending t-learning t-text by jccaicedo on 2008-05-10 22:22:32 as along with 2 people jgronski ldietz
	A tutorial on support vector regression [My Copy] Statistics and Computing, Vol. 14, No. 3. (1 August 2004), pp. 199-222. by Alex J. Smola, Bernhard Schölkopf posted to c-kernels s-pending t-learning by jccaicedo on 2008-05-10 22:21:24 as along with 7 people Cavadini xuzhe83 liefengbo vbaudoui timg dcastro caramanis
	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 c-kernels s-filtered t-learning by jccaicedo on 2008-05-10 22:19:26 as along with 5 people and 1 group stober awg2 amargoli bpacker sdvillal vision-ng
	Shortest-path kernels on graphs [My Copy] Data Mining, Fifth IEEE International Conference on In Data Mining, Fifth IEEE International Conference on (2005), 8 pp.. by K. M. Borgwardt, H. P. Kriegel posted to c-kernels s-pending t-learning by jccaicedo on 2008-05-10 22:17:45 as along with 2 people and 1 group MarcoAlvarez uwenagel Graph based learning
	The use of kernel principal component analysis to model data distributions [My Copy] Pattern Recognition, Vol. 36, No. 1. (January 2003), pp. 217-227. by C. J. Twining, C. J. Taylor posted to c-kernels s-pending t-learning by jccaicedo on 2008-05-10 22:15:44 as
	A kernel method for canonical correlation analysis [My Copy] (2001) by S. Akaho posted to t-learning c-kernels s-collected by jccaicedo on 2008-05-10 22:15:07 as
	Kernel Methods: a Survey of Current Techniques [My Copy] (2000) by C. Campbell posted to t-learning c-kernels c-survey s-collected by jccaicedo on 2008-05-10 22:13:48 as
	A generalized kernel approach to dissimilarity-based classification [My Copy] J. Mach. Learn. Res., Vol. 2 (2002), pp. 175-211. by Elzbieta Pekalska, Pavel Paclik, Robert P. W. Duin posted to t-learning c-kernels s-collected by jccaicedo on 2008-05-10 22:13:07 as
	Latent Semantic Kernels [My Copy] Journal of Intelligent Information Systems, Vol. 18, No. 2. (1 March 2002), pp. 127-152. by Nello Cristianini, John Shawe-Taylor, Huma Lodhi posted to t-learning c-kernels s-collected by jccaicedo on 2008-05-10 22:10:46 as along with 2 people m8j mahler
	Convolution Kernels for Natural Language [My Copy] In Advances in Neural Information Processing Systems 14 (2002) by M. Collins, N. Duffy edited by T. G. Dietterich, S. Becker, Z. Ghahramani posted to t-text t-learning c-kernels s-collected by jccaicedo on 2008-05-10 22:10:25 as along with 1 person johnkork
	Estimating the Support of a High-Dimensional Distribution [My Copy] Neural Comp., Vol. 13, No. 7. (1 July 2001), pp. 1443-1471. by Bernhard Scholkopf, John C. Platt, John Shawe-Taylor, Alex J. Smola, Robert C. Williamson posted to t-learning s-collected by jccaicedo on 2008-05-10 22:09:59 as
	Kernels and Distances for Structured Data [My Copy] Machine Learning, Vol. 57, No. 3. (1 December 2004), pp. 205-232. by Thomas Gärtner, John W. Lloyd, Peter A. Flach posted to t-learning c-kernels s-collected by jccaicedo on 2008-05-10 22:07:38 as
	Extracting relations with integrated information using kernel methods [My Copy] In ACL '05: Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics (2005), pp. 419-426. by Shubin Zhao, Ralph Grishman posted to t-fusion t-learning c-kernels s-collected by jccaicedo on 2008-05-10 22:06:38 as along with 1 person julianpan
	Multi-kernel regularized classifiers [My Copy] Journal of Complexity, Vol. 23, No. 1. (February 2007), pp. 108-134. by Qiang Wu, Yiming Ying, Ding-Xuan Zhou posted to t-learning c-kernels s-collected by jccaicedo on 2008-05-10 22:04:43 as
	Learning Theory: An Approximation Theory Viewpoint (Cambridge Monographs on Applied & Computational Mathematics) [My Copy] (2007) by Felipe Cucker, Ding X. Zhou posted to t-learning s-collected by jccaicedo on 2008-05-10 22:03:00 as
	Feature space perspectives for learning the kernel [My Copy] Machine Learning, Vol. 66, No. 2-3. (March 2007), pp. 297-319. by Micchelli, Charles, Pontil, Massimiliano posted to t-learning c-kernels s-collected by jccaicedo on 2008-05-10 22:02:31 as
	kFOIL: Learning Simple Relational Kernels [My Copy] by N. Landwehr, A. Passerini, P. Frasconi posted to t-learning c-kernels s-collected by jccaicedo on 2008-05-10 22:01:49 as
	A survey of kernels for structured data [My Copy] SIGKDD Explor. Newsl., Vol. 5, No. 1. (July 2003), pp. 49-58. by Thomas Gärtner posted to t-learning c-kernels s-collected by jccaicedo on 2008-05-10 21:59:50 as along with 7 people m8j mahler fabgoos rramirezp MarcoAlvarez memming whym
	Marginalized kernels for biological sequences. [My Copy] Bioinformatics (Oxford, England), Vol. 18 Suppl 1 (2002) by K. Tsuda, T. Kin, K. Asai posted to t-learning c-kernels s-collected by jccaicedo on 2008-05-10 21:59:24 as along with 1 person and 1 group amac Graph based learning
	KPCA plus LDA: a complete kernel Fisher discriminant framework for feature extraction and recognition [My Copy] Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 27, No. 2. (2005), pp. 230-244. by Jian Yang, A. F. Frangi, Jing-Yu Yang, David Zhang, Zhong Jin posted to t-learning c-kernels s-collected by jccaicedo on 2008-05-10 21:56:06 as along with 3 people awg2 eddymier hehuiguang
	Small sample learning during multimedia retrieval using BiasMap [My Copy] Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on In Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on, Vol. 1 (2001), pp. I-11-I-17 vol.1. by Xiang S. Zhou, T. S. Huang posted to t-retrieval t-learning c-kernels s-collected by jccaicedo on 2008-05-10 21:54:54 as
	Learning kernels from biological networks by maximizing entropy. [My Copy] Bioinformatics, Vol. 20 Suppl 1 (4 August 2004) by K. Tsuda, W. S. Noble posted to t-learning c-kernels s-collected by jccaicedo on 2008-05-10 21:54:05 as along with 5 people and 4 groups ajbattle ihpark bioinfo jwdietrich carlk MathBio Cybernetics Biomedical_Cybernetics AQUA-FONTIS-Study
	Optimizing the data-dependent kernel under a unified kernel optimization framework [My Copy] Pattern Recognition, Vol. 41, No. 6. (June 2008), pp. 2107-2119. by Bo Chen, Hongwei Liu, Zheng Bao posted to t-learning c-kernels s-collected by jccaicedo on 2008-05-10 21:52:52 as along with 1 person awg2
	Laplacian Discriminant Projection with Optimized Kernels for Supervised Feature Extraction and Classification [My Copy] Intelligent Systems Design and Applications, 2007. ISDA 2007. Seventh International Conference on In Intelligent Systems Design and Applications, 2007. ISDA 2007. Seventh International Conference on (2007), pp. 115-120. by Jun-Bao Li, Shu-Chuan Chu, Jeng-Shyang Pan posted to t-learning c-kernels s-collected by jccaicedo on 2008-05-10 21:52:19 as
	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 t-learning c-kernels s-collected by jccaicedo on 2008-05-10 21:50:53 as along with 2 people teesid jung_dalglish
	Kernel-based distance metric learning for microarray data classification [My Copy] BMC Bioinformatics, Vol. 7 (14 June 2006), 299. by Huilin Xiong, Xue-Wen Chen posted to t-learning c-kernels s-collected by jccaicedo on 2008-05-10 21:49:38 as along with 4 people vi_z jfr dwf papamicd
	A kernel approach for semisupervised metric learning. [My Copy] IEEE transactions on neural networks / a publication of the IEEE Neural Networks Council, Vol. 18, No. 1. (January 2007), pp. 141-149. by D. Y. Yeung, H. Chang posted to c-learn-to-rank t-learning c-kernels s-collected by jccaicedo on 2008-05-10 21:49:13 as
	Large margin nearest neighbor classifiers [My Copy] Neural Networks, IEEE Transactions on In Neural Networks, IEEE Transactions on, Vol. 16, No. 4. (2005), pp. 899-909. by C. Domeniconi, D. Gunopulos, Jing Peng posted to t-learning c-kernels s-collected by jccaicedo on 2008-05-10 21:47:36 as along with 1 person bbabenko
	Adaptive quasiconformal kernel nearest neighbor classification. [My Copy] IEEE transactions on pattern analysis and machine intelligence, Vol. 26, No. 5. (May 2004), pp. 656-661. by J. Peng, D. R. Heisterkamp, H. K. Dai posted to t-learning c-kernels s-collected by jccaicedo on 2008-05-10 21:47:14 as
	Adaptive Kernel Metric Nearest Neighbor Classification [My Copy] In ICPR '02: Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 (2002) by Jing Peng, Douglas R. Heisterkamp, H. K. Dai posted to t-learning c-kernels s-collected by jccaicedo on 2008-05-10 21:46:50 as
	Metrics that learn relevance [My Copy] (2000) by S. Kaski, J. Sinkkonen posted to c-learn-to-rank t-learning c-kernels s-collected by jccaicedo on 2008-05-10 21:45:13 as
	Adaptive feature-space conformal transformation for imbalanced-data learning [My Copy] by G. Wu, E. Chang posted to t-learning c-kernels s-collected by jccaicedo on 2008-05-10 21:43:47 as
	Learning eigenfunctions of similarity: linking spectral clustering and kernel PCA [My Copy] by Y. Bengio, P. Vincent, J. F. Paiement posted to t-learning c-kernels s-collected by jccaicedo on 2008-05-10 21:42:34 as
	Improving kernel Fisher discriminant analysis for face recognition [My Copy] Circuits and Systems for Video Technology, IEEE Transactions on In Circuits and Systems for Video Technology, IEEE Transactions on, Vol. 14, No. 1. (2004), pp. 42-49. by Qingshan Liu, Hanqing Lu, Songde Ma posted to t-learning c-kernels s-collected by jccaicedo on 2008-05-10 21:37:46 as along with 1 person eddymier

Note: You may cite this page as: http://www.citeulike.org/user/jccaicedo/tag/t-learning

Result page: 1 2 Next

t-retrieval	173
s-collected	171
t-fusion	82
s-read	74
t-imaging	73
t-learning	67
c-kernels	57
journal	34
s-toread	31
chapter	28
s-filtered	28
s-pending	22
t-text	21
c-annotation	18
c-survey	15
c-bag-of-features	15
c-clef	12
histology_review	11
c-feedback	10
c-learn-to-rank	9
c-semantics	6
c-ontologies	5
c-indexing	5
c-event	4
c-pathology	3
this-week	3
c-similarity	2
c-segmentation	2
crazy	1
face	1
programming	1
sparse	1
c-structured	1
c-crossmedia	1
c_features	1

jccaicedo's t-learning [67 articles] Export

jccaicedo's tags