jekky's library 251 articles Export

	Regularized Distance Metric Learning: Theory and Algorithm [My Copy] In NIPS (2009) by Rong Jin, Shijun Wang, Yang Zhou posted to nips metric-learning distance-learning by jekky on 2009-11-21 15:27:08 as
	Nonnegative Sparse PCA [My Copy] In In Neural Information Processing Systems (2007) by Ron Zass, Amnon Shashua posted to sparse_representation sparse-modeling pca by jekky on 2009-10-13 17:02:08 as along with 1 person vlachmore
	Online Learning for Matrix Factorization and Sparse Coding [My Copy] (1 Aug 2009) by Julien Mairal, Francis Bach, Jean Ponce, Guillermo Sapiro posted to sparse-modeling dictionary by jekky on 2009-09-29 17:56:44 as along with 3 people engelhardt nliu82 markstoehr
	Dictionary Learning and Sparse Coding for Unsupervised Clustering [My Copy] (2009) by Pablo Sprechmann, Guillermo Sapiro posted to sparse-modeling dictionary by jekky on 2009-09-29 16:07:24 as
	Shift-Map Image Editing [My Copy] In ICCV (2009) by Yael Pritch, Eitam K. Venaki, Shmuel Peleg posted to retargeting graph-cut editing by jekky on 2009-09-10 06:16:06 as
	Object Modeling: Recognition, Detection, Segmentation and Parsing - Problems, Challenges and Directions [My Copy] (October 2006) by Long Zhu posted to vision recognition object-modeling learning by jekky on 2009-09-01 03:05:15 as
	A unifying framework for several cutting plane methods for semidefinite programming [My Copy] Optimization Methods and Software, Vol. 21, No. 1. (February 2006), pp. 57-74. by Kartik Krishnan, John Mitchell posted to sdp optimization machine-learning cutting-plane by jekky on 2009-09-01 02:53:16 as
	Multilabel Text Classification for Automated Tag Suggestion [My Copy] In Proceedings of the ECML/PKDD 2008 Discovery Challenge (2008) by Ioannis Katakis, Grigorios Tsoumakas, Ioannis Vlahavas posted to learning machine-learning multi-label multi-label-learning text-classification by jekky on 2008-12-27 03:42:37 as along with 1 person and 2 groups katak Multilabel Classification mlkd
	Supervised feature selection via dependence estimation [My Copy] In ICML '07: Proceedings of the 24th international conference on Machine learning (2007), pp. 823-830. by Le Song, Alex Smola, Arthur Gretton, Karsten M. Borgwardt, Justin Bedo posted to dependence-estimation feature-selection icml learning machine-learning by jekky on 2008-12-11 09:37:50 as
	Joint multi-label multi-instance learning for image classification [My Copy] Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on In Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on (2008), pp. 1-8. by Zheng-Jun Zha, Xian-Sheng Hua, Tao Mei, Jingdong Wang, Guo-Jun Qi, Zengfu Wang posted to 2008 cvpr multi-instance multi-instance-learning multi-label multi-label-learning by jekky on 2008-12-07 07:51:41 as along with 1 person and 3 groups Mohan-S Multiple Instance Learning Multilabel Classification mlkd
	Multi-Instance Learning: A Survey [My Copy] (2004) by Zhi-Hua Zhou posted to multi-instance multi-instance-learning survey by jekky on 2008-12-02 14:35:57 as
	Correlative multi-label video annotation [My Copy] In MULTIMEDIA '07: Proceedings of the 15th international conference on Multimedia (2007), pp. 17-26. by Guo J. Qi, Xian S. Hua, Yong Rui, Jinhui Tang, Tao Mei, Hong J. Zhang posted to annotation learning multi-label multi-label-learning video video-annotation by jekky on 2008-11-29 15:41:09 as along with 2 people and 1 group Mohan-S eddymier mlkd
	Multi-Instance Multi-Label Learning with Application to Scene Classification [My Copy] In NIPS (2006), pp. 1609-1616. by Zhi H. Zhou, Min L. Zhang edited by Bernhard Schölkopf, John C. Platt, Thomas Hoffman posted to multi-label-learning by jekky on 2008-11-29 15:31:46 as along with 3 people and 2 groups Mohan-S egibaja adamsi Multilabel Classification mlkd
	Transductive multi-label learning for video concept detection [My Copy] In MIR '08: Proceeding of the 1st ACM international conference on Multimedia information retrieval (2008), pp. 298-304. by Jingdong Wang, Yinghai Zhao, Xiuqing Wu, Xian S. Hua posted to 2008 concept-detection multi-label-learning transfer-learning by jekky on 2008-11-28 07:59:23 as along with 1 person and 1 group nliu82 mlkd
	Boosting for transfer learning [My Copy] In ICML '07: Proceedings of the 24th international conference on Machine learning (2007), pp. 193-200. by Wenyuan Dai, Qiang Yang, Gui R. Xue, Yong Yu posted to 2007 aaai transfer-learning by jekky on 2008-11-26 05:33:59 as along with 3 people jdu nliu82 donghai
	A Survey on Transfer Learning [My Copy] (2008) by Sinno J. Pan, Qiang Yang posted to 2008 survey transfer-learning by jekky on 2008-11-25 14:21:16 as along with 1 person and 1 group librain LIBrain
	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 2007 distance icml information-theory learning metric-learning by jekky on 2008-11-23 06:41:09 as along with 4 people sdvillal teesid jung_dalglish jsr
	Structured metric learning for high dimensional problems [My Copy] In KDD '08: Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining (2008), pp. 195-203. by Jason V. Davis, Inderjit S. Dhillon posted to 2008 kdd learning metric-learning by jekky on 2008-11-22 14:39:12 as along with 1 person ashleygeorge
	In Defense of Nearest-Neighbor Based Image Classification [My Copy] In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (2008) by Oren Boiman, Eli Shechtman, Michal Irani posted to 2008 cvpr reading by jekky on 2008-08-21 07:55:07 as along with 1 group CeMNet
	Orthogonal nonnegative matrix t-factorizations for clustering [My Copy] In KDD '06: Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining (2006), pp. 126-135. by Chris Ding, Tao Li, Wei Peng, Haesun Park posted to factorization non-negative-matrix-factorization semi-supervised semi-supervised-clustering by jekky on 2008-03-17 09:29:35 as along with 2 people bcao noa
	Semi-Supervised Learning (Adaptive Computation and Machine Learning) [My Copy] (01 September 2006) edited by O. Chapelle, B. Schölkopf, A. Zien posted to book semi-supervised semi-supervised-clustering semi-supervised-learning by jekky on 2008-03-16 13:18:53 as along with 11 people dpdearing cdepablo eddymier liamtoh333 thefillm sdvillal ecome bundschu worldsun jung_dalglish davidr
	Semi-Supervised Clustering via Matrix Factorization [My Copy] In SIAM Conference on Data Mining (SDM) (2008) by Fei Wang, Tao Li, Changshui Zhang posted to 2008 co-clustering nmf non-negative-matrix-factorization semi-supervised semi-supervised-clustering by jekky on 2008-03-13 07:18:49 as
	Information-theoretic co-clustering [My Copy] In KDD '03: Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining (2003), pp. 89-98. by Inderjit S. Dhillon, Subramanyam Mallela, Dharmendra S. Modha posted to clustering co-algorithm co-clustering learning by jekky on 2008-03-11 07:16:00 as along with 8 people socwangnan sergiolopez bozdagd mapio mmunson ngrandy koles Simplicity
	Feature Extraction by Maximizing the Average Neighborhood Margin [My Copy] Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on (2007), pp. 1-8. by Fei Wang, Changshui Zhang posted to dimension-reduction feature-selection by jekky on 2008-03-09 16:00:50 as along with 1 person tino
	A contextual dissimilarity measure for accurate and efficient image search [My Copy] Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on In Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on (2007), pp. 1-8. by H. Jegou, H. Harzallah, C. Schmid posted to bag-of-feature bag-of-features matching metric-learning object-categorization object-modeling object-recognition by jekky on 2008-03-07 07:53:45 as along with 1 person friedel
	Weakly Supervised Learning of Part-Based Spatial Models for Visual Object Recognition [My Copy] Computer Vision – ECCV 2006 In Proc. of European Conf. on Computer Vision (ECCV) (2006), pp. 16-29. by David Crandall, Daniel Huttenlocher posted to object-categorization object-modeling object-recognition spatial spatial-relationship by jekky on 2008-03-07 07:45:24 as along with 2 people weiweiguo swachsmu
	Semi-supervised Clustering by Seeding [My Copy] In ICML '02: Proceedings of the Nineteenth International Conference on Machine Learning (2002), pp. 27-34. by Sugato Basu, Arindam Banerjee, Raymond J. Mooney posted to clustering semi-supervised semi-supervised-clustering semi-supervised-learning by jekky on 2008-02-29 10:58:28 as
	Enhancing semi-supervised clustering: a feature projection perspective [My Copy] In KDD '07: Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining (2007), pp. 707-716. by Wei Tang, Hui Xiong, Shi Zhong, Jie Wu posted to clustering semi-supervised semi-supervised-clustering semi-supervised-learning by jekky on 2008-02-29 10:55:55 as along with 1 person pif
	Scene Modeling Using Co-Clustering [My Copy] In IEEE 11th International Conference on Computer Vision (2007) by Jingen Liu, Mubarak Shah posted to 2007 bag-of-feature bag-of-features category-recognition co-algorithm cvpr histogram iccv image-classification local-feature matching reading recognition scene-classification toread by jekky on 2008-02-17 10:42:19 as
	Discriminative Object Class Models of Appearance and Shape by Correlatons [My Copy] In Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Vol. 2 (2006), pp. 2033-2040. by S. Savarese, J. Winn, A. Criminisi posted to bag-of-feature bag-of-features image-classification matching object-categorization object-modeling object-recognition recognition scene-classification spatial-relationship by jekky on 2008-02-17 10:34:30 as
	Patch Alignment for Dimension Reduction [My Copy] IEEE Transactions on Knowledge and Data Engineering (2008) by Tianhao Zhang, Dacheng Tao, Deli Zhao, Xuelong Li, Jie Yang posted to dimension-reduction pca spectral spectral-matching subspace svd tensor by jekky on 2008-01-24 02:21:14 as
	Bayesian feature and model selection for Gaussian mixture models [My Copy] Transactions on Pattern Analysis and Machine Intelligence In Transactions on Pattern Analysis and Machine Intelligence, Vol. 28, No. 6. (2006), pp. 1013-1018. by C. Constantinopoulos, M. K. Titsias, A. Likas posted to graphical-model metric-learning mixture-model toread by jekky on 2008-01-12 14:38:51 as
	Simultaneous feature selection and clustering using mixture models [My Copy] Pattern Analysis and Machine Intelligence, IEEE Transactions on In Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 26, No. 9. (2004), pp. 1154-1166. by M. H. C. Law, M. A. T. Figueiredo, A. K. Jain posted to feature-selection graphical-model metric-learning mixture-model toread by jekky on 2007-12-31 03:39:34 as along with 6 people stharward ecome chafika sdvillal eacosta amargoli
	Supervised Learning of Quantizer Codebooks by Information Loss Minimization [My Copy] IEEE Transactions on Pattern Analysis and Machine Intelligence (2007) by Svetlana Lazebnik, Maxim Raginsky posted to bag-of-feature metric-learning vocabulary by jekky on 2007-12-20 01:28:07 as
	An Introduction to Variational Methods for Graphical Models [My Copy] Machine Learning, Vol. 37 (1999), pp. 183-233. by Michael I. Jordan, Zoubin Ghahramani, Tommi S. Jaakkola, Lawrence Saul edited by David Heckerman posted to graphical-model toread tutorial variational-method by jekky on 2007-12-05 03:30:58 as
	Feature Mining for Image Classification [My Copy] Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on In Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on (2007), pp. 1-8. by P. Dollar, Zhuowen Tu, Hai Tao, S. Belongie posted to 2007 cvpr feature-selection learning object-categorization object-modeling by jekky on 2007-11-04 04:21:57 as along with 4 people mzabidi thorgal Mohan-S bbabenko
	Representing shape with a spatial pyramid kernel [My Copy] In CIVR '07: Proceedings of the 6th ACM international conference on Image and video retrieval (2007), pp. 401-408. by Anna Bosch, Andrew Zisserman, Xavier Munoz posted to object-categorization object-modeling object-recognition spatial spatial-pyramid-matching spatial-relationship toread by jekky on 2007-09-27 16:59:53 as along with 4 people inayatkh caicai doubleshow GernotMargreitner
	Multilinear Discriminant Analysis for Face Recognition [My Copy] Image Processing, IEEE Transactions on In Image Processing, IEEE Transactions on, Vol. 16, No. 1. (2007), pp. 212-220. by S. Yan, D. Xu, Q. Yang, L. Zhang, X. Tang, H. J. Zhang posted to multilinear tensor toread by jekky on 2007-09-24 02:03:00 as
	Learning Visual Similarity Measures for Comparing Never Seen Objects [My Copy] Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on In Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on (16 July 2007), pp. 1-8. by E. Nowak, F. Jurie posted to 2007 category-recognition cvpr metric-learning object-categorization object-recognition by jekky on 2007-08-05 09:25:55 as along with 1 person and 4 groups pantherseu CMU-HCII Blog_and_Wiki_Research automatic_summarization ASR
	Proximity Distribution Kernels for Geometric Context in Category Recognition [My Copy] In Proceeding of Eleventh IEEE International Conference on Computer Vision (October 2007) by Haibin Ling, Stefano Soato posted to 2007 category-recognition iccv object-categorization object-recognition spatial-pyramid-matching spatial-relationship by jekky on 2007-08-05 07:04:09 as along with 4 groups CMU-HCII Blog_and_Wiki_Research automatic_summarization ASR
	Learning distance functions for image retrieval [My Copy] Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on, Vol. 2 (2004), pp. II-570-II-577 Vol.2. by T. Hertz, A. Bar-Hillel, D. Weinshall posted to learning metric-learning toread by jekky on 2007-06-24 14:12:05 as along with 3 people and 5 groups dill2009 thsant ciga CMU-HCII Blog_and_Wiki_Research automatic_summarization video_retrieval ASR
	On learning asymmetric dissimilarity measures [My Copy] Data Mining, Fifth IEEE International Conference on (2005), 4 pp.. by K. Kummamuru, R. Krishnapuram, R. Agrawal posted to learning metric-learning toread by jekky on 2007-06-24 14:10:04 as along with 4 groups CMU-HCII Blog_and_Wiki_Research automatic_summarization ASR
	$My PDF l&\#243;pez_07_dynamic.pdf$ Dynamic visual attention model in image sequences [My Copy] Image Vision Comput., Vol. 25, No. 5. (May 2007), pp. 597-613. by Mar&\#237;a T. L&\#243;pez, Miguel A. Fern&\#225;ndez, Antonio Fern&\#225;ndez-Caballero, Jos&\#233; Mira, Ana E. Delgado posted to attention survey video_attention by jekky on 2007-06-24 02:59:01 as along with 4 groups CMU-HCII Blog_and_Wiki_Research automatic_summarization ASR
	Text Classification from Labeled and Unlabeled Documents using EM [My Copy] Machine Learning, Vol. 39, No. 2. (1 May 2000), pp. 103-134. by Kamal Nigam, Andrew K. Mccallum, Sebastian Thrun, Tom Mitchell posted to em semi-supervised semi-supervised-learning text-classification by jekky on 2007-05-02 08:45:33 as along with 3 people and 5 groups anoop_kunchukuttan jarek bcroy CMU-HCII Blog_and_Wiki_Research automatic_summarization ASR MAML
	Bayesian Sets [My Copy] (2005) by Z. Ghahramani, K. A. Heller posted to bayesian graphical-model learning statistical-model by jekky on 2007-04-24 08:51:37 as along with 3 people and 4 groups jarek sids macle CMU-HCII Blog_and_Wiki_Research automatic_summarization ASR
	A Simple Bayesian Framework for Content-Based Image Retrieval [My Copy] In CVPR '06: Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (2006), pp. 2110-2117. by Katherine A. Heller, Zoubin Ghahramani posted to bayesian graphical-model learning photo2search retrieval statistical-model by jekky on 2007-04-24 08:50:45 as along with 1 person and 4 groups macle CMU-HCII Blog_and_Wiki_Research automatic_summarization ASR
	Learning to Locate Informative Features for Visual Identification [My Copy] International Journal of Computer Vision (2006) by Andras Ferencz, Erik Learned-Miller, Jitendra Malik posted to bag-of-features object-categorization object-recognition photo2search reading recognition segmentation spatial-relationship by jekky on 2007-04-03 09:26:02 as along with 4 groups CMU-HCII Blog_and_Wiki_Research automatic_summarization ASR
	Discriminative Training of Hyper-feature Models for Object Identification [My Copy] In British Machine Vision Conference (2006) by Vidit Jain, Andras Ferencz, Erik Learned-Miller posted to bag-of-features object-categorization object-recognition photo2search reading recognition segmentation spatial-relationship by jekky on 2007-04-03 09:24:42 as along with 1 person and 4 groups weiweiguo CMU-HCII Blog_and_Wiki_Research automatic_summarization ASR
	Learning Hyper-Features for Visual Identification [My Copy] In Neural Information Processing Systems, Vol. 18 (2004) by Andras Ferencz, Erik Learned-Miller, Jitendra Malik posted to bag-of-features object-categorization object-recognition photo2search reading recognition segmentation spatial-relationship by jekky on 2007-04-03 09:20:43 as along with 4 groups CMU-HCII Blog_and_Wiki_Research automatic_summarization ASR
	Building a classification cascade for visual identification from one example [My Copy] Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference on, Vol. 1 (2005), pp. 286-293 Vol. 1. by A. Ferencz, E. G. Learned-Miller, J. Malik posted to bag-of-features object-categorization object-identification object-recognition photo2search reading recognition spatial-relationship statistical-model by jekky on 2007-04-03 09:13:12 as along with 1 person and 4 groups w_nuttachai CMU-HCII Blog_and_Wiki_Research automatic_summarization ASR

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object-categorization	26
object-recognition	26
action-recognition	22
bibtex-import	21
photo2search	21
reading	19
attention	18
spatial-relationship	17
learning	15
factorization	14
graphical-model	14
bag-of-features	13
dynamic-scene	13
3d-vision	11
recognition	11
metric-learning	10
multi-body	10
object-attention	10
subspace	10
toread	9
video-attention	9
bag-of-feature	8
segmentation	8
attention-application	7
math	7
tracking	7
vision	7
2007	6
2008	6
matching	6
object-modeling	6
pattern-recognition	6
semi-supervised	6
tensor	6
cvpr	5
multi-label-learning	5
rank-theorem	5
semi-supervised-clustering	5
structure-from-motion	5
adaptation	4
em	4
feature-selection	4
motion-segmentation	4
optical-flow	4
semi-supervised-learning	4
spatial-pyramid-matching	4
spatial-temporal-analysis	4
svd	4
category-recognition	3
clustering	3
co-algorithm	3
dimension-reduction	3
image-classification	3
jpeg2000	3
local-feature	3
machine-learning	3
multi-label	3
multimedia-adaptation	3
pca	3
scene-classification	3
sparse-modeling	3
statistical-model	3
survey	3
transfer-learning	3
bayesian	2
co-clustering	2
dictionary	2
histogram	2
iccv	2
icml	2
kernel	2
mixture-model	2
multi-instance	2
multi-instance-learning	2
non-negative-matrix-factorization	2
non-rigid	2
projective	2
random-field	2
sift	2
signal-processing	2
spatial	2
spectral	2
spectral-matching	2
text-classification	2
viewpoint-consistency	2
aaai	1
annotation	1
book	1
concept-detection	1
cutting-plane	1
dependence-estimation	1
discriminative	1
distance	1
distance-learning	1
editing	1
energy-minimization	1
fundamental-matrix	1
graph-cut	1
graph-matching	1
graph-theory	1
hyperfeature	1
incremental-algorithm	1
information-theory	1
interest-point-detector	1
kdd	1
markov-random-field	1
motion-consistency	1
multilinear	1
network	1
nips	1
nmf	1
object-detection	1
object-identification	1
object-of-interest	1
optimization	1
oriented-frames	1
retargeting	1
retrieval	1
robust-statistics	1
sdp	1
sparse_representation	1
structure-saliency	1
texture	1
tutorial	1
variational-method	1
video	1
video-annotation	1
video_attention	1
video-stabilization	1
video-synthesis	1
vocabulary	1
web-mining	1

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