Search results for "Semi-Supervised"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
97	Shi Zhong	Semi-supervised model-based document clustering: A comparative study.	Mach. Learn.	2006	DBLP DOI BibTeX RDF	Seeded clustering, Clustering with feedback, Semi-supervised clustering, Model-based clustering, Deterministic annealing, Constrained clustering
92	Hamed Valizadegan, Rong Jin 0001, Anil K. Jain 0001	Semi-Supervised Boosting for Multi-Class Classification.	ECML/PKDD (2)	2008	DBLP DOI BibTeX RDF	Semi-supervised learning, Boosting, Multi-Class Classification
89	Chi Su, Yang Gao 0001, Chun Cao	Learning classifier system using both labeled and unlabeled data.	GECCO	2010	DBLP DOI BibTeX RDF	semi-supervised learning, learning classifier system
84	Julia Handl, Joshua D. Knowles	On semi-supervised clustering via multiobjective optimization.	GECCO	2006	DBLP DOI BibTeX RDF	multiobjective clustering, multiobjective machine learning, semi-supervised learning, semi-supervised clustering
83	Tijl De Bie, Nello Cristianini	Semi-Supervised Learning Using Semi-Definite Programming.	Semi-Supervised Learning	2006	DBLP DOI BibTeX RDF
79	Kun Zhao, Yingjie Tian 0001, Naiyang Deng	Unsupervised and Semi-supervised Lagrangian Support Vector Machines.	International Conference on Computational Science (3)	2007	DBLP DOI BibTeX RDF	Lagrangian Support Vector Machines, semi-supervised learning, unsupervised learning, margin, Semi-definite Programming
78	Kamal Nigam, Andrew McCallum, Tom M. Mitchell	Semi-Supervised Text Classification Using EM.	Semi-Supervised Learning	2006	DBLP DOI BibTeX RDF
78	Matthias W. Seeger	A Taxonomy for Semi-Supervised Learning Methods.	Semi-Supervised Learning	2006	DBLP DOI BibTeX RDF
78	Jason Weston, Christina S. Leslie, Eugene Ie, William Stafford Noble	Semi-Supervised Protein Classification Using Cluster Kernels.	Semi-Supervised Learning	2006	DBLP DOI BibTeX RDF
78	Vikas Sindhwani, Misha Belkin, Partha Niyogi	The Geometric Basis of Semi-Supervised Learning.	Semi-Supervised Learning	2006	DBLP DOI BibTeX RDF
78	Olivier Chapelle, Bernhard Schölkopf, Alexander Zien	Introduction to Semi-Supervised Learning.	Semi-Supervised Learning	2006	DBLP DOI BibTeX RDF
78	Dale Schuurmans, Finnegan Southey, Dana F. Wilkinson, Yuhong Guo	Metric-Based Approaches for Semi-Supervised Regression and Classification.	Semi-Supervised Learning	2006	DBLP DOI BibTeX RDF
78	Fábio Gagliardi Cozman, Ira Cohen	Risks of Semi-Supervised Learning: How Unlabeled Data Can Degrade Performance of Generative Classifiers.	Semi-Supervised Learning	2006	DBLP DOI BibTeX RDF
78	Maria-Florina Balcan, Avrim Blum	An Augmented PAC Model for Semi-Supervised Learning.	Semi-Supervised Learning	2006	DBLP DOI BibTeX RDF
78	Sugato Basu, Mikhail Bilenko, Arindam Banerjee 0001, Raymond J. Mooney	Probabilistic Semi-Supervised Clustering with Constraints.	Semi-Supervised Learning	2006	DBLP DOI BibTeX RDF
78	Christopher J. C. Burges, John C. Platt	Semi-Supervised Learning with Conditional Harmonic Mixing.	Semi-Supervised Learning	2006	DBLP DOI BibTeX RDF
78	Vladimir Vapnik	Transductive Inference and Semi-Supervised Learning.	Semi-Supervised Learning	2006	DBLP DOI BibTeX RDF
78	Olivier Chapelle, Bernhard Schölkopf, Alexander Zien	A Discussion of Semi-Supervised Learning and Transduction.	Semi-Supervised Learning	2006	DBLP DOI BibTeX RDF
75	Gregory Druck, Chris Pal, Andrew McCallum, Xiaojin Zhu 0001	Semi-supervised classification with hybrid generative/discriminative methods.	KDD	2007	DBLP DOI BibTeX RDF	hybrid generative/discriminative methods, text classification, semi-supervised learning
75	Hui Xiong 0001, Michael S. Steinbach, Vipin Kumar 0001	Privacy leakage in multi-relational databases via pattern based semi-supervised learning.	CIKM	2005	DBLP DOI BibTeX RDF	semi-supervised learning, database security, privacy preserving data mining, hyperclique patterns
73	Korris Fu-Lai Chung, Shitong Wang 0001, Zhaohong Deng, Chen Shu, Dewen Hu	Clustering Analysis of Gene Expression Data based on Semi-supervised Visual Clustering Algorithm.	Soft Comput.	2006	DBLP DOI BibTeX RDF	Gradient system, Semi-supervised learning, Clustering analysis, Gene expression data, Visual clustering
71	Wuyi Yang, Shuwu Zhang, Wei Liang 0009	A Graph Based Subspace Semi-supervised Learning Framework for Dimensionality Reduction.	ECCV (2)	2008	DBLP DOI BibTeX RDF
71	Mingjie Qian, Feiping Nie 0001, Changshui Zhang	Efficient multi-class unlabeled constrained semi-supervised SVM.	CIKM	2009	DBLP DOI BibTeX RDF	dual coordinate descent method, multi-class categorization, multi-class laplacian svm, multi-class svm, multi-class ucsvm, semi-supervised learning
71	Meng Wang 0001, Yan Song 0001, Xun Yuan 0001, HongJiang Zhang, Xian-Sheng Hua 0001, Shipeng Li 0001	Automatic video annotation by semi-supervised learning with kernel density estimation.	ACM Multimedia	2006	DBLP DOI BibTeX RDF	SSLKDE, semi-supervised learning, video annotation, kernel density estimation
68	Mohamed Farouk Abdel Hady, Friedhelm Schwenker, Günther Palm	Semi-supervised Learning for Regression with Co-training by Committee.	ICANN (1)	2009	DBLP DOI BibTeX RDF
68	Yao Chen, Yuntao Qian	Semi-supervised Dynamic Counter Propagation Network.	ADMA	2006	DBLP DOI BibTeX RDF
67	Olivier Chapelle, Bernhard Schölkopf, Alexander Zien	Analysis of Benchmarks.	Semi-Supervised Learning	2006	DBLP DOI BibTeX RDF
67	Yves Grandvalet, Yoshua Bengio	Entropy Regularization.	Semi-Supervised Learning	2006	DBLP DOI BibTeX RDF
67	Lawrence K. Saul, Kilian Q. Weinberger, Fei Sha, Jihun Ham, Daniel D. Lee	Spectral Methods for Dimensionality Reduction.	Semi-Supervised Learning	2006	DBLP DOI BibTeX RDF
67	Alon Orlitsky	Modifying Distances.	Semi-Supervised Learning	2006	DBLP DOI BibTeX RDF
67	Adrian Corduneanu, Tommi S. Jaakkola	Data-Dependent Regularization.	Semi-Supervised Learning	2006	DBLP DOI BibTeX RDF
67	Yoshua Bengio, Olivier Delalleau, Nicolas Le Roux	Label Propagation and Quadratic Criterion.	Semi-Supervised Learning	2006	DBLP DOI BibTeX RDF
67	Xiaojin Zhu 0001, Jaz S. Kandola, John Lafferty, Zoubin Ghahramani	Graph Kernels by Spectral Transforms.	Semi-Supervised Learning	2006	DBLP DOI BibTeX RDF
67	Hyunjung Shin, Koji Tsuda	Prediction of Protein Function from Networks.	Semi-Supervised Learning	2006	DBLP DOI BibTeX RDF
67	Neil D. Lawrence, Michael I. Jordan	Gaussian Processes and the Null-Category Noise Model.	Semi-Supervised Learning	2006	DBLP DOI BibTeX RDF
67	Olivier Delalleau, Yoshua Bengio, Nicolas Le Roux	Large-Scale Algorithms.	Semi-Supervised Learning	2006	DBLP DOI BibTeX RDF
67	Dengyong Zhou, Bernhard Schölkopf	Discrete Regularization.	Semi-Supervised Learning	2006	DBLP DOI BibTeX RDF
67	Thorsten Joachims	Transductive Support Vector Machines.	Semi-Supervised Learning	2006	DBLP DOI BibTeX RDF
66	Xiangnan Kong, Philip S. Yu	Semi-supervised feature selection for graph classification.	KDD	2010	DBLP DOI BibTeX RDF	data mining, feature selection, semi-supervised learning, graph classification
66	Yi Hong 0002, Sam Kwong, Hui Xiong 0001, Qingsheng Ren	Genetic-guided semi-supervised clustering algorithm with instance-level constraints.	GECCO	2008	DBLP DOI BibTeX RDF	genetic algorithms, semi-supervised clustering
66	Grant Anderson, Bernhard Pfahringer	Exploiting Propositionalization Based on Random Relational Rules for Semi-supervised Learning.	PAKDD	2008	DBLP DOI BibTeX RDF	semi-supervised, randomization, propositionalization
66	Michele Ceccarelli, Antonio Maratea	Semi-supervised Fuzzy c-Means Clustering of Biological Data.	WILF	2005	DBLP DOI BibTeX RDF	Adaptive Metric, Semi-Supervised Learning, Fuzzy Clustering, Validity Index
66	Zhi-Hua Zhou, Ming Li 0005	Semisupervised Regression with Cotraining-Style Algorithms.	IEEE Trans. Knowl. Data Eng.	2007	DBLP DOI BibTeX RDF	Data mining, Machine learning
63	Kun Zhao, Ying-Jie Tian 0001, Naiyang Deng, Hiroshi Kuwajima, Takashi Washio	Robust Unsupervised and Semisupervised Bounded C-Support Vector Machines.	ICDM Workshops	2007	DBLP DOI BibTeX RDF	Bounded Support Vector Machines, robust, semi- supervised learning, unsupervised learning, Semi- definite Programming
63	Hui Xiong 0001, Michael S. Steinbach, Vipin Kumar 0001	Privacy leakage in multi-relational databases: a semi-supervised learning perspective.	VLDB J.	2006	DBLP DOI BibTeX RDF
63	Zhuhong You, Shanwen Zhang, Liping Li	Integration of Genomic and Proteomic Data to Predict Synthetic Genetic Interactions Using Semi-supervised Learning.	ICIC (2)	2009	DBLP DOI BibTeX RDF	Genetic Interaction, Functional Gene network, Network Property, Semi-supervised learning
63	Jiangtao Ren, Zhengyuan Qiu, Wei Fan 0001, Hong Cheng 0001, Philip S. Yu	Forward Semi-supervised Feature Selection.	PAKDD	2008	DBLP DOI BibTeX RDF	feature selection, semi-supervised learning
60	Yanjun Qi, Ronan Collobert, Pavel P. Kuksa, Koray Kavukcuoglu, Jason Weston	Combining labeled and unlabeled data with word-class distribution learning.	CIKM	2009	DBLP DOI BibTeX RDF	semi-supervised feature learning, information extraction, semi-supervised learning, name entity recognition
59	ErHeng Zhong, Sihong Xie, Wei Fan 0001, Jiangtao Ren, Jing Peng 0001, Kun Zhang 0012	Graph-Based Iterative Hybrid Feature Selection.	ICDM	2008	DBLP DOI BibTeX RDF
59	Ranga Raju Vatsavai, Shashi Shekhar, Thomas E. Burk	A Semi-Supervised Learning Method for Remote Sensing Data Mining.	ICTAI	2005	DBLP DOI BibTeX RDF	semi-supervised learning, GMM, EM, MAP, MLE
58	Andrew Carlson, Justin Betteridge, Richard C. Wang, Estevam R. Hruschka Jr., Tom M. Mitchell	Coupled semi-supervised learning for information extraction.	WSDM	2010	DBLP DOI BibTeX RDF	bootstrap learning, information extraction, web mining, semi-supervised learning
58	Yu Xia	A global optimization method for semi-supervised clustering.	Data Min. Knowl. Discov.	2009	DBLP DOI BibTeX RDF	Instance-level constraints, Concavity cuts, Global optimization, Semi-supervised clustering, Partitional clustering
58	Si Chen, Gongde Guo, Lifei Chen	Semi-supervised Classification Based on Clustering Ensembles.	AICI	2009	DBLP DOI BibTeX RDF	clustering consistency, classification, semi-supervised learning, clustering ensembles
58	Kun Zhao, Yingjie Tian 0001, Naiyang Deng	Robust Unsupervised and Semi-supervised Bounded v - Support Vector Machines.	ISNN (2)	2009	DBLP DOI BibTeX RDF	Bounded ?? support vector machines, Robust, Semi-supervised learning, Unsupervised learning, Semi-definite programming
58	Héctor Allende-Cid, Jorge Mendoza, Héctor Allende, Enrique Canessa	Semi-supervised Robust Alternating AdaBoost.	CIARP	2009	DBLP DOI BibTeX RDF	Machine ensembles, Robust Alternating AdaBoost, Semi-Supervised Learning, Expectation Maximization
58	Yuanqing Li, Cuntai Guan	Joint feature re-extraction and classification using an iterative semi-supervised support vector machine algorithm.	Mach. Learn.	2008	DBLP DOI BibTeX RDF	Rayleigh coefficient, Supporter vector machine (SVM), Feature extraction, Semi-supervised learning, Model selection
58	Naeem Seliya, Taghi M. Khoshgoftaar	Software quality estimation with limited fault data: a semi-supervised learning perspective.	Softw. Qual. J.	2007	DBLP DOI BibTeX RDF	Software quality estimation, Software metrics, Semi-supervised learning, Expectation maximization, Unlabeled data
58	Wei Tang, Hui Xiong 0001, Shi Zhong, Jie Wu 0001	Enhancing semi-supervised clustering: a feature projection perspective.	KDD	2007	DBLP DOI BibTeX RDF	feature projection, pairwise instance constraints, semi-supervised clustering
58	Xiaoguang Rui, Pingbo Yuan, Nenghai Yu	Image Annotations Based on Semi-supervised Clustering with Semantic Soft Constraints.	PCM	2006	DBLP DOI BibTeX RDF	image annotation, semi-supervised clustering, soft constraints, semantic distance
58	Massih-Reza Amini, Patrick Gallinari	Semi-supervised learning with an imperfect supervisor.	Knowl. Inf. Syst.	2005	DBLP DOI BibTeX RDF	Semi-supervised learnin, Imperfect supervision, Classification Expectation Maximisation, Classification Maximum Likelihood
56	Naeem Seliya, Taghi M. Khoshgoftaar, Shi Zhong	Analyzing Software Quality with Limited Fault-Proneness Defect Data.	HASE	2005	DBLP DOI BibTeX RDF	software quality, k-means, software measurements, software faults, semi-supervised clustering
55	Alexis Bondu, Marc Boullé, Vincent Lemaire 0001, Stéphane Loiseau, Béatrice Duval	A Non-parametric Semi-supervised Discretization Method.	ICDM	2008	DBLP DOI BibTeX RDF
54	Avrim Blum, Maria-Florina Balcan	Open Problems in Efficient Semi-supervised PAC Learning.	COLT	2007	DBLP DOI BibTeX RDF
54	Meng Wang 0001, Xian-Sheng Hua 0001, Yan Song 0001, Li-Rong Dai 0001, HongJiang Zhang	Semi-Supervised Kernel Regression.	ICDM	2006	DBLP DOI BibTeX RDF
54	Chao Deng, Maozu Guo 0001	Tri-training and Data Editing Based Semi-supervised Clustering Algorithm.	MICAI	2006	DBLP DOI BibTeX RDF
54	Yan Song 0001, Guo-Jun Qi, Xian-Sheng Hua 0001, Li-Rong Dai 0001, Ren-Hua Wang	Video Annotation by Active Learning and Semi-Supervised Ensembling.	ICME	2006	DBLP DOI BibTeX RDF
54	Matti Kääriäinen	Semi-Supervised Model Selection Based on Cross-Validation.	IJCNN	2006	DBLP DOI BibTeX RDF
54	Brian Kulis, Sugato Basu, Inderjit S. Dhillon, Raymond J. Mooney	Semi-supervised graph clustering: a kernel approach.	ICML	2005	DBLP DOI BibTeX RDF
54	Ye-Yi Wang, Raphael Hoffmann, Xiao Li 0006, Jakub Szymanski	Semi-supervised learning of semantic classes for query understanding: from the web and for the web.	CIKM	2009	DBLP DOI BibTeX RDF	html lists, lexicon acquisition/set expansion, model over-fitting, query understanding/semantic tagging, information extraction, semi-supervised learning, conditional random fields
54	Lei Zheng, Shaojun Wang, Yan Liu 0008, Chi-Hoon Lee	Information theoretic regularization for semi-supervised boosting.	KDD	2009	DBLP DOI BibTeX RDF	semi-supervised learning, ensemble
54	Jiani Hu, Weihong Deng, Jun Guo 0002	Semi-supervised Learning Based on Label Propagation through Submanifold.	ISNN (1)	2009	DBLP DOI BibTeX RDF	K-nearest neighbor graph, Classification, Semi-supervised learning, Quadratic program
54	Xiao Li 0006, Ye-Yi Wang, Alex Acero	Extracting structured information from user queries with semi-supervised conditional random fields.	SIGIR	2009	DBLP DOI BibTeX RDF	metadata, information extraction, semi-supervised learning, conditional random fields
54	Inae Choi, Hyunjung Shin	Semi-supervised Learning with Ensemble Learning and Graph Sharpening.	IDEAL	2008	DBLP DOI BibTeX RDF	Graph sharpening, Hyperparameter selection, Semi-supervised learning, Ensemble learning, Noise reduction
54	Guo-Zhu Wen, De-Shuang Huang	A Novel Spike Sorting Method Based on Semi-supervised Learning.	ICIC (2)	2008	DBLP DOI BibTeX RDF	Spike Sorting, Self-organizing Map, Manifold Learning, Semi-supervised Clustering, Affinity Propagation
54	Heidy Marisol Marín Castro, Luis Enrique Sucar, Eduardo F. Morales 0001	Automatic Image Annotation Using a Semi-supervised Ensemble of Classifiers.	CIARP	2007	DBLP DOI BibTeX RDF	Semi-supervised Learning, AdaBoost, Ensembles, Automatic image annotation
52	Hongwen Kang, Kuansan Wang, David Soukal, Fritz Behr, Zijian Zheng	Large-scale bot detection for search engines.	WWW	2010	DBLP DOI BibTeX RDF	bot detection, click logs, search engine, semi-supervised learning, query logs, captcha
52	Rui Zhang, Wenjian Wang, Yi-Chen Ma, Changqian Men	Least Square Transduction Support Vector Machine.	Neural Process. Lett.	2009	DBLP DOI BibTeX RDF	Least square transduction support vector machine, Transductive support vector machine, Semi-supervised learning, Supervised learning, Least square support vector machine
52	Ranga Raju Vatsavai, Budhendra L. Bhaduri	A Hybrid Classification Scheme for Mining Multisource Geospatial Data.	ICDM Workshops	2007	DBLP DOI BibTeX RDF	MLC, Semi-supervised Learning, EM
52	Steven C. H. Hoi, Michael R. Lyu, Edward Y. Chang	Learning the unified kernel machines for classification.	KDD	2006	DBLP DOI BibTeX RDF	kernel logistic regressions, spectral kernel learning, unsupervised kernel design, classification, active learning, semi-supervised learning, supervised learning, kernel machines
51	Bin Fan, Zhen Lei 0001, Stan Z. Li	Normalized LDA for semi-supervised learning.	FG	2008	DBLP DOI BibTeX RDF
50	Kevin Y. Yip, Michael K. Ng 0001, David W. Cheung	Input Validation for Semi-supervised Clustering.	ICDM Workshops	2006	DBLP DOI BibTeX RDF
50	Ke Lu 0001, Jidong Zhao, Mengqin Xia, Jiazhi Zeng	Semi-supervised Learning for Image Retrieval Using Support Vector Machines.	ISNN (1)	2005	DBLP DOI BibTeX RDF
50	Haibin Cheng, Pang-Ning Tan	Semi-supervised learning with data calibration for long-term time series forecasting.	KDD	2008	DBLP DOI BibTeX RDF	semi-supervised learning, time series prediction
50	Maoqiang Xie, Jinli Liu, Nan Zheng, Dong Li, Yalou Huang, Yang Wang 0017	Semi-Supervised Graph-Ranking for Text Retrieval.	AIRS	2008	DBLP DOI BibTeX RDF	Semi-Supervised Ranking, Graph Ranking, Text Retrieval
49	Fabricio A. Breve, Liang Zhao 0001, Marcos G. Quiles	Particle Competition in Complex Networks for Semi-supervised Classification.	Complex (1)	2009	DBLP DOI BibTeX RDF	particle competition, semi-supervised learning, complex networks, community detection
49	Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto	Some Pairwise Constrained Semi-Supervised Fuzzy c-Means Clustering Algorithms.	MDAI	2009	DBLP DOI BibTeX RDF	Fuzzy c-Means, Semi-Supervised Clustering, Pairwise Constraints
49	Yan Zhu 0012, Liping Jing, Jian Yu	New Labeling Strategy for Semi-supervised Document Categorization.	KSEM	2009	DBLP DOI BibTeX RDF	semi-supervised learning, labeling, keyword, prior knowledge
49	Krikamol Muandet, Sanparith Marukatat, Cholwich Nattee	Query Selection via Weighted Entropy in Graph-Based Semi-supervised Classification.	ACML	2009	DBLP DOI BibTeX RDF	Graph-Based Semi-supervised Learning, Active Learning
49	Jack Chongjie Xue, Gary M. Weiss	Quantification and semi-supervised classification methods for handling changes in class distribution.	KDD	2009	DBLP DOI BibTeX RDF	class distribution, classification, semi-supervised learning, concept drift, quantification
49	Lei Su, Hongzhi Liao, Zhengtao Yu 0001, Jiahua Tang	Semi-supervised Learning with Multimodal Perturbation.	ISNN (1)	2009	DBLP DOI BibTeX RDF	Multimodal Perturbation, Machine Learning, Semi-Supervised Learning, Ensemble Learning, Co-training
49	Zhiwu Lu 0001, Yuxin Peng	A Semi-supervised Learning Algorithm on Gaussian Mixture with Automatic Model Selection.	Neural Process. Lett.	2008	DBLP DOI BibTeX RDF	Entropy regularization, Semi-supervised learning, Model selection, Gaussian mixture, Pairwise constraints
49	Bin Zhao 0004, Fei Wang 0001, Changshui Zhang	Cuts3vm: a fast semi-supervised svm algorithm.	KDD	2008	DBLP DOI BibTeX RDF	constrained concave convex procedure, semi-supervised support vector machine, cutting plane
49	Lei Jia, Shizhong Liao	A Generic Diffusion Kernel for Semi-supervised Learning.	ISNN (1)	2008	DBLP DOI BibTeX RDF	Graph-based Semi-Supervised Learning, Diffusion Kernel, Similarity, Kernel Methods
49	Tianqiang Liu, Hongxun Yao, Rongrong Ji, Yan Liu 0014, Xianming Liu, Xiaoshuai Sun, Pengfei Xu 0001, Zhen Zhang	Vision-Based Semi-supervised Homecare with Spatial Constraint.	PCM	2008	DBLP DOI BibTeX RDF	Intelligent homecare, action detection, tracking, semi-supervised learning, surveillance
49	Kazunari Sugiyama, Manabu Okumura	Personal Name Disambiguation in Web Search Results Based on a Semi-supervised Clustering Approach.	ICADL	2007	DBLP DOI BibTeX RDF	Information retrieval, Semi-supervised clustering, Personal name disambiguation
49	Jinhui Tang 0001, Xian-Sheng Hua 0001, Guo-Jun Qi, Xiuqing Wu	Typicality ranking via semi-supervised multiple-instance learning.	ACM Multimedia	2007	DBLP DOI BibTeX RDF	natural scene categorization, typicality ranking, semi-supervised learning, multiple-instance learning
49	Mahmoud Zennaki, Ahmed Ech-Cherif, Jean-Charles Lamirel	Using Reactive Tabu Search in Semi-supervised Classification.	ICTAI (2)	2007	DBLP DOI BibTeX RDF	Reactive Tabu Search, Support Vector Machines, Semi-Supervised Learning, Mixed Integer Programming, Transductive inference
49	Nizar Grira, Michel Crucianu, Nozha Boujemaa	Active semi-supervised fuzzy clustering for image database categorization.	Multimedia Information Retrieval	2005	DBLP DOI BibTeX RDF	image database categorization, semi-supervised clustering, pairwise constraints
49	Sugato Basu, Mikhail Bilenko, Raymond J. Mooney	A probabilistic framework for semi-supervised clustering.	KDD	2004	DBLP DOI BibTeX RDF	hidden Markov random fields, semi-supervised clustering, distance metric learning
48	Shipeng Yu, Kai Yu 0001, Volker Tresp, Hans-Peter Kriegel, Mingrui Wu	Supervised probabilistic principal component analysis.	KDD	2006	DBLP DOI BibTeX RDF	semi-supervised projection, supervised projection, principal component analysis, dimensionality reduction