Search results for "Unsupervised"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
41	Alberto Carrascal, Alberto Díez, Ander Azpeitia	Unsupervised Methods for Anomalies Detection through Intelligent Monitoring Systems.	HAIS	2009	DBLP DOI BibTeX RDF	Unsupervised Anomaly Detection, Intelligent Monitoring Systems, Clustering, Unsupervised Classification
40	Yoshua Bengio	Deep Learning of Representations for Unsupervised and Transfer Learning.	ICML Unsupervised and Transfer Learning	2012	DBLP BibTeX RDF
40	Daniel L. Silver, Isabelle Guyon, Graham W. Taylor, Gideon Dror, Vincent Lemaire 0001	ICML2011 Unsupervised and Transfer Learning Workshop.	ICML Unsupervised and Transfer Learning	2012	DBLP BibTeX RDF
40	Vladimir Nikulin, Tian-Hsiang Huang	Unsupervised dimensionality reduction via gradient-based matrix factorization with two adaptive learning rates.	ICML Unsupervised and Transfer Learning	2012	DBLP BibTeX RDF
40	Pierre Baldi	Autoencoders, Unsupervised Learning, and Deep Architectures.	ICML Unsupervised and Transfer Learning	2012	DBLP BibTeX RDF
40	Chuanren Liu, Jianjun Xie, Yong Ge, Hui Xiong 0001	Stochastic Unsupervised Learning on Unlabeled Data.	ICML Unsupervised and Transfer Learning	2012	DBLP BibTeX RDF
40	Grégoire Mesnil, Yann N. Dauphin, Xavier Glorot, Salah Rifai, Yoshua Bengio, Ian J. Goodfellow, Erick Lavoie, Xavier Muller, Guillaume Desjardins, David Warde-Farley, Pascal Vincent, Aaron C. Courville, James Bergstra	Unsupervised and Transfer Learning Challenge: a Deep Learning Approach.	ICML Unsupervised and Transfer Learning	2012	DBLP BibTeX RDF
39	María Guijarro, Raquel Abreu, Gonzalo Pajares	A New Unsupervised Hybrid Classifier for Natural Textures in Images.	Innovations in Hybrid Intelligent Systems	2008	DBLP DOI BibTeX RDF	image texture classification, Vector Quantization, unsupervised, Fuzzy k-Means
39	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
39	Kun Zhao, Ying-Jie Tian 0001, Naiyang Deng	Unsupervised and Semi-Supervised Two-class Support Vector Machines.	ICDM Workshops	2006	DBLP DOI BibTeX RDF	Bounded Support Vector Machines, unsupervised learning, Semidefinite Programming, margin, semisupervised learning
39	Lucian Vlad Lita, Jaime G. Carbonell	Unsupervised question answering data acquisition from local corpora.	CIKM	2004	DBLP DOI BibTeX RDF	semantic drift, question answering, unsupervised learning, data acquisition
35	Christa Wang, Nabil Belacel	VNSOptClust: A Variable Neighborhood Search Based Approach for Unsupervised Anomaly Detection.	MCO	2008	DBLP DOI BibTeX RDF	Automatic Partitional Clustering, Unsupervised Anomaly Detection, Unsupervised Learning, Variable Neighborhood Search
35	Hamed Hamid Muhammed	Unsupervised fuzzy clustering and image segmentation using weighted neural networks.	ICIAP	2003	DBLP DOI BibTeX RDF	Unsupervised Image Segmentation, Unsupervised Fuzzy Clustering, Weighted Neural Networks (WNN), Neuro-Fuzzy Systems, Watersheds
35	Malcolm J. A. Strens, James F. Boyce	Constraint Directed Learning for Unsupervised Image Sequence Segmentation.	ICIP (1)	1997	DBLP DOI BibTeX RDF	image sequence segmentation, unsupervised classifier, input vectors clustering, constraint directed learning, classifier labelling decisions, boundary localisation, unsupervised learning, spatial correlation, feature space, feature vectors, infrared images, spatial context
35	Isak Gath, Amir B. Geva	Unsupervised Optimal Fuzzy Clustering.	IEEE Trans. Pattern Anal. Mach. Intell.	1989	DBLP DOI BibTeX RDF	unsupervised optimal fuzzy clustering, fuzzy K-means algorithm, fuzzy maximum-likelihood estimation, unsupervised fuzzy partition-optimal number of classes algorithm, sleep EEG signal, pattern recognition, pattern recognition, fuzzy set theory, fuzzy set theory, cluster validity, electroencephalography, fuzzy classification
35	Hayit Greenspan, Rodney M. Goodman, Rama Chellappa, Charles H. Anderson	Learning Texture Discrimination Rules in a Multiresolution System.	IEEE Trans. Pattern Anal. Mach. Intell.	1994	DBLP DOI BibTeX RDF	texture discrimination rule learning, multiresolution system, texture analysis system, informative discrimination rules, rule-based neural networks, frequency-orientation space, log-Gabor pyramidal decomposition, statistical clustering, feature-vector attributes, pattern recognition, computer vision, knowledge based systems, textured map, unsupervised learning, unsupervised learning, supervised learning, neural nets, quantization, learning systems, labeling, image texture, texture classification, statistical machine learning
34	Isabelle Guyon, Gideon Dror, Vincent Lemaire 0001, Graham W. Taylor, Daniel L. Silver (eds.)	Unsupervised and Transfer Learning - Workshop held at ICML 2011, Bellevue, Washington, USA, July 2, 2011	ICML Unsupervised and Transfer Learning	2012	DBLP BibTeX RDF
34	Ulrike von Luxburg, Robert C. Williamson, Isabelle Guyon	Clustering: Science or Art?	ICML Unsupervised and Transfer Learning	2012	DBLP BibTeX RDF
34	Fabio Aiolli	Transfer Learning by Kernel Meta-Learning.	ICML Unsupervised and Transfer Learning	2012	DBLP BibTeX RDF
34	Si-Chi Chin, W. Nick Street	Divide and Transfer: an Exploration of Segmented Transfer to Detect Wikipedia Vandalism.	ICML Unsupervised and Transfer Learning	2012	DBLP BibTeX RDF
34	Joachim M. Buhmann, Morteza Haghir Chehreghani, Mario Frank 0001, Andreas P. Streich	Information Theoretic Model Selection for Pattern Analysis.	ICML Unsupervised and Transfer Learning	2012	DBLP BibTeX RDF
34	Gyemin Lee, Lloyd Stoolman, Clayton Scott	Transfer Learning for Auto-gating of Flow Cytometry Data.	ICML Unsupervised and Transfer Learning	2012	DBLP BibTeX RDF
34	Ruslan Salakhutdinov, Joshua B. Tenenbaum, Antonio Torralba 0001	One-Shot Learning with a Hierarchical Nonparametric Bayesian Model.	ICML Unsupervised and Transfer Learning	2012	DBLP BibTeX RDF
34	Kohei Hayashi, Takashi Takenouchi, Ryota Tomioka, Hisashi Kashima	Self-measuring Similarity for Multi-task Gaussian Process.	ICML Unsupervised and Transfer Learning	2012	DBLP BibTeX RDF
34	Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh, Sreangsu Acharyya	Transfer Learning with Cluster Ensembles.	ICML Unsupervised and Transfer Learning	2012	DBLP BibTeX RDF
34	Aaron Wilson, Alan Fern, Prasad Tadepalli	Transfer Learning in Sequential Decision Problems: A Hierarchical Bayesian Approach.	ICML Unsupervised and Transfer Learning	2012	DBLP BibTeX RDF
34	Christian Widmer, Gunnar Rätsch	Multitask Learning in Computational Biology.	ICML Unsupervised and Transfer Learning	2012	DBLP BibTeX RDF
34	Alexandru Niculescu-Mizil, Rich Caruana	Inductive Transfer for Bayesian Network Structure Learning.	ICML Unsupervised and Transfer Learning	2012	DBLP BibTeX RDF
34	Cédric Wemmert, Germain Forestier, Sébastien Derivaux	Improving Supervised Learning with Multiple Clusterings.	Applications of Supervised and Unsupervised Ensemble Methods	2009	DBLP DOI BibTeX RDF
34	Jesús Maudes, Juan J. Rodríguez Diez, César Ignacio García-Osorio	Disturbing Neighbors Diversity for Decision Forests.	Applications of Supervised and Unsupervised Ensemble Methods	2009	DBLP DOI BibTeX RDF
34	Francesco Gargiulo 0001, Antonio Penta, Antonio Picariello, Carlo Sansone	A Personal Antispam System Based on a Behaviour-Knowledge Space Approach.	Applications of Supervised and Unsupervised Ensemble Methods	2009	DBLP DOI BibTeX RDF
34	Muna Al-Razgan, Carlotta Domeniconi	Clustering Ensembles with Active Constraints.	Applications of Supervised and Unsupervised Ensemble Methods	2009	DBLP DOI BibTeX RDF
34	Pedro Gago, Manuel Filipe Santos	Evaluating Hybrid Ensembles for Intelligent Decision Support for Intensive Care.	Applications of Supervised and Unsupervised Ensemble Methods	2009	DBLP DOI BibTeX RDF
34	Sebastian Nusser, Clemens Otte, Werner Hauptmann	Verifiable Ensembles of Low-Dimensional Submodels for Multi-class Problems with Imbalanced Misclassification Costs.	Applications of Supervised and Unsupervised Ensemble Methods	2009	DBLP DOI BibTeX RDF
34	Georg Krempl, Vera Hofer	Partitioner Trees for Classification: A New Ensemble Method.	Applications of Supervised and Unsupervised Ensemble Methods	2009	DBLP DOI BibTeX RDF
34	Angelo Ciaramella, Giulio Giunta, Angelo Riccio, Stefano Galmarini	Independent Data Model Selection for Ensemble Dispersion Forecasting.	Applications of Supervised and Unsupervised Ensemble Methods	2009	DBLP DOI BibTeX RDF
34	Terry Windeatt	Weighted Decoding ECOC for Facial Action Unit Classification.	Applications of Supervised and Unsupervised Ensemble Methods	2009	DBLP DOI BibTeX RDF
34	Grigorios Tsoumakas, Ioannis Partalas, Ioannis P. Vlahavas	An Ensemble Pruning Primer.	Applications of Supervised and Unsupervised Ensemble Methods	2009	DBLP DOI BibTeX RDF
34	Gabriele Lombardi, Elena Casiraghi, Paola Campadelli	The Neighbors Voting Algorithm and Its Applications.	Applications of Supervised and Unsupervised Ensemble Methods	2009	DBLP DOI BibTeX RDF
34	Matteo Re, Giorgio Valentini	Prediction of Gene Function Using Ensembles of SVMs and Heterogeneous Data Sources.	Applications of Supervised and Unsupervised Ensemble Methods	2009	DBLP DOI BibTeX RDF
34	Erinija Pranckeviciene	Integrating Liknon Feature Selection and Committee Training.	Applications of Supervised and Unsupervised Ensemble Methods	2009	DBLP DOI BibTeX RDF
34	Battista Biggio, Giorgio Fumera, Fabio Roli	Evade Hard Multiple Classifier Systems.	Applications of Supervised and Unsupervised Ensemble Methods	2009	DBLP DOI BibTeX RDF
34	Deng Cai 0001, Chiyuan Zhang, Xiaofei He 0001	Unsupervised feature selection for multi-cluster data.	KDD	2010	DBLP DOI BibTeX RDF	clustering, feature selection, unsupervised
34	Mihaela Elena Breaban, Henri Luchian	Unsupervised feature weighting with multi niche crowding genetic algorithms.	GECCO	2009	DBLP DOI BibTeX RDF	crowding genetic algorithm, unsupervised feature weighting, clustering, feature selection
34	Ying Shan, Harpreet S. Sawhney, Rakesh Kumar 0001	Unsupervised Learning of Discriminative Edge Measures for Vehicle Matching between Nonoverlapping Cameras.	IEEE Trans. Pattern Anal. Mach. Intell.	2008	DBLP DOI BibTeX RDF	Fisher' s Linear Discriminants, vehicle matching, object reacquisition, non-overlapping camers, Object recognition, unsupervised learning, Gibbs Sampling, edge feature
34	Matthew Michelson, Craig A. Knoblock	Unsupervised information extraction from unstructured, ungrammatical data sources on the World Wide Web.	Int. J. Document Anal. Recognit.	2007	DBLP DOI BibTeX RDF	Unstructured data sources, Information extraction, Information integration, Semantic annotation, Unsupervised
34	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
34	Michal Haindl, Stanislav Mikes, Giuseppe Scarpa	Unsupervised Detection of Mammogram Regions of Interest.	KES (3)	2007	DBLP DOI BibTeX RDF	Markov random fields, mammography, Unsupervised segmentation
34	Jayanta Basak, Raghu Krishnapuram	Interpretable Hierarchical Clustering by Constructing an Unsupervised Decision Tree.	IEEE Trans. Knowl. Data Eng.	2005	DBLP DOI BibTeX RDF	Unsupervised decision tree, data set segmentation, entropy
34	Shu-Ching Chen, Chengcui Zhang, Mei-Ling Shyu	An Unsupervised Segmentation Framework For Texture Image Queries.	COMPSAC	2001	DBLP DOI BibTeX RDF	unsupervised segmentation, texture images, Image query
33	Snehasis Mukhopadhyay, Changhong Tang, Jeffrey Huang, Mathew J. Palakal	Genetic Sequence Classification and its Application to Cross-Species Homology Detection.	J. VLSI Signal Process.	2003	DBLP DOI BibTeX RDF	unsupervised and supervised learning, cross-species homology detection, clustering, artificial neural network, sequence alignment, sequence classification
32	Berenike Loos, Chris Biemann	Supporting Web-based Address Extraction with Unsupervised Tagging.	GfKl	2007	DBLP DOI BibTeX RDF
32	Zheng Zhao 0002, Huan Liu 0001	Spectral feature selection for supervised and unsupervised learning.	ICML	2007	DBLP DOI BibTeX RDF
32	Zongxing Xie, Thiago Quirino, Mei-Ling Shyu, Shu-Ching Chen, LiWu Chang	UNPCC: A Novel Unsupervised Classification Scheme for Network Intrusion Detection.	ICTAI	2006	DBLP DOI BibTeX RDF
32	Pierre Lanchantin, Wojciech Pieczynski	Unsupervised restoration of hidden nonstationary Markov chains using evidential priors.	IEEE Trans. Signal Process.	2005	DBLP DOI BibTeX RDF
32	Lorenzo Bruzzone, Roberto Cossu, Diego Fernández-Prieto	Combining Parametric and Nonparametric Classifiers for an Unsupervised Updating of Land-Cover Maps.	Multiple Classifier Systems	2000	DBLP DOI BibTeX RDF
30	Arnaldo de Albuquerque Araújo, Leonardo Max Batista Claudino, Ricardo Augusto Rabelo Oliveira, Silvio Jamil Ferzoli Guimarães	Pattern Recognition and Image Description by Suitable Textural Information.	SIBGRAPI	2000	DBLP DOI BibTeX RDF	textural information, image description, pattern recognition, image texture, feature spaces, unsupervised segmentation, unsupervised classification
30	Joachim Hornegger, Heinrich Niemann	Statistical Learning, Localization, and Identification of Objects.	ICCV	1995	DBLP DOI BibTeX RDF	automatic model generation, scene features, parameter estimation problems, 2D recognition, 3D image processing, computer vision, learning, feature extraction, localization, object recognition, object recognition, parameter estimation, parameter estimation, unsupervised learning, unsupervised learning, image matching, statistical learning, object identification, 3D object recognition, statistical approach, probabilistic approach, model features, grey-level images
30	Baback Moghaddam, Alex Pentland	Probabilistic Visual Learning for Object Detection.	ICCV	1995	DBLP DOI BibTeX RDF	probabilistic visual learning, unsupervised visual learning, eigenspace decomposition, multivariate Gaussian, automatic object recognition, nonrigid objects, object recognition, unsupervised learning, object detection, maximum likelihood estimation, maximum-likelihood estimation, visual search, density estimation, target detection, high-dimensional spaces, human faces, probability densities, training data
30	Guido Rovetta, Patrizia Monteforte, Gerolamo Bianchi, Stefano Rovetta, Rodolfo Zunino	Validation of a Large Medical Database.	CBMS	1995	DBLP DOI BibTeX RDF	large medical database, database validation, clinical problems, experimental evidence, observed data validation, incorrect sampling, sample distribution, data-inherent regularities, unsupervised models, clinical records analysis, osteoporosis, data distribution uniformity, unbiased sampling, neural networks, data integrity, probability, unsupervised learning, neural nets, medical information systems, very large databases, biasing
30	Surya Pemmaraju, Sunanda Mitra, Yao-Yang Shieh, Glenn H. Roberson	Multiresolution Wavelet Decomposition and Neuro-Fuzzy Clustering for Segmentation of Radiographic Images.	CBMS	1995	DBLP DOI BibTeX RDF	fuzzy neural nets, multiresolution wavelet decomposition, neuro fuzzy clustering, neuro-fuzzy clustering, radiographic image segmentation, tissue abnormalities, multiresolution image representation approach, fuzzy learning rules, image segmentation, wavelet transforms, image analysis, unsupervised learning, image representation, shape analysis, medical image processing, texture segmentation, uncertainty handling, diagnostic radiography, medical image segmentation, contour detection, unsupervised neural network
28	Ruochen Liu, Wei Zhang 0009, Licheng Jiao, Fang Liu 0001	A multiobjective immune clustering ensemble technique applied to unsupervised SAR image segmentation.	CIVR	2010	DBLP DOI BibTeX RDF	unsupervised image segmentation, artificial immune system, multiobjective optimization, SAR image, clustering ensemble
28	Ivan Fratric, Slobodan Ribaric	Real-Time Model-Based Hand Localization for Unsupervised Palmar Image Acquisition.	ICB	2009	DBLP DOI BibTeX RDF	Hand localization, unsupervised biometrics, real-time, model-based
28	Bo Chen, Chuanzhi Zang	Unsupervised Structure Damage Classification Based on the Data Clustering and Artificial Immune Pattern Recognition.	ICARIS	2009	DBLP DOI BibTeX RDF	unsupervised structure damage classification, artificial immune pattern recognition, data clustering, structural health monitoring
28	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
28	José Ramón Villar 0001, María del Rosario Suárez, Javier Sedano, Felipe Mateos	Unsupervised Feature Selection in High Dimensional Spaces and Uncertainty.	HAIS	2009	DBLP DOI BibTeX RDF	Unsupervised feature selection, genetic algorithms, frequent pattern mining, data uncertainty
28	Andreas Kriechbaum, Roland Mörzinger, Georg Thallinger	Unsupervised mesh based segmentation of moving objects.	AREA	2008	DBLP DOI BibTeX RDF	motion extraction, moving object segmentation, spatial segmentation, unsupervised system, clustering, tracking, optical flow, occlusion, mpeg-7, event detection, mean shift, displaced frame difference
28	Amaresh Kumar Pandey, Tanveer J. Siddiqui	An unsupervised Hindi stemmer with heuristic improvements.	AND	2008	DBLP DOI BibTeX RDF	heuristics and optimal word segment, unsupervised morphological analyzer, Hindi
28	Emil St. Chifu, Ioan Alfred Letia	A neural model for unsupervised taxonomy enrichment.	iiWAS	2008	DBLP DOI BibTeX RDF	document category histograms (DCH), document frequency times inverse term frequency (DF-ITF) weighting scheme, extended growing hierarchical self-organizing maps (Enrich-GHSOM), taxonomy enrichment, unsupervised neural network
28	Nicholas Shorter, Takis Kasparis	Fuzzy ART for Relatively Fast Unsupervised Image Color Quantization.	SSPR/SPR	2008	DBLP DOI BibTeX RDF	Image Color Quantization, Clustering, Unsupervised, Fuzzy ART
28	Zorana Bankovic, Slobodan Bojanic, Octavio Nieto-Taladriz, Atta Badii	Unsupervised Genetic Algorithm Deployed for Intrusion Detection.	HAIS	2008	DBLP DOI BibTeX RDF	genetic algorithm, intrusion detection, unsupervised
28	Shi-Hua Luo, Jiu-sun Zeng	BF Hot Metal Silicon Content Prediction Using Unsupervised Fuzzy Clustering.	ICFIE	2007	DBLP DOI BibTeX RDF	Silicon Content Prediction, Unsupervised Fuzzy Clustering
28	Cheng-Fa Tsai, Chia-Chen Yen	Unsupervised Anomaly Detection Using HDG-Clustering Algorithm.	ICONIP (2)	2007	DBLP DOI BibTeX RDF	unsupervised anomaly detection, data mining, intrusion detection, anomaly detection, data clustering
28	Nicos G. Pavlidis, Vassilis P. Plagianakos, Dimitris K. Tasoulis, Michael N. Vrahatis	Financial forecasting through unsupervised clustering and neural networks.	Oper. Res.	2006	DBLP DOI BibTeX RDF	Time Series Modeling and Prediction, Neural Networks, Unsupervised Clustering
28	Ingo Mierswa, Michael Wurst	Information preserving multi-objective feature selection for unsupervised learning.	GECCO	2006	DBLP DOI BibTeX RDF	Pareto front segmentation, multi-objective feature selection, unsupervised learning
28	Yihao Zhang 0001, Mehmet A. Orgun, Weiqiang Lin	Unsupervised Learning Aided by Hierarchical Analysis in Knowledge Exploration.	ISDA (1)	2006	DBLP DOI BibTeX RDF	Hierarchical Analysis, Knowledge Exploration, Unsupervised Learning
28	Yang Song, Luis Goncalves, Pietro Perona	Unsupervised Learning of Human Motion.	IEEE Trans. Pattern Anal. Mach. Intell.	2003	DBLP DOI BibTeX RDF	decomposable triangulated graph, Unsupervised learning, probabilistic models, EM algorithm, mixture models, human motion, greedy search
28	Yudi Agusta, David L. Dowe	Unsupervised Learning of Correlated Multivariate Gaussian Mixture Models Using MML.	Australian Conference on Artificial Intelligence	2003	DBLP DOI BibTeX RDF	Intrinsic Classification, Numerical Taxonomy, Clustering, Machine Learning, Classification, Information Theory, Mixture Modelling, Statistical Inference, Unsupervised Classification, Knowledge Discovery and Data Mining, MML, Minimum Message Length
28	Mário A. T. Figueiredo, Anil K. Jain 0001	Unsupervised Learning of Finite Mixture Models.	IEEE Trans. Pattern Anal. Mach. Intell.	2002	DBLP DOI BibTeX RDF	minimum message length criterion, clustering, unsupervised learning, model selection, Bayesian methods, expectation-maximization algorithm, finite mixtures
28	Jacob Goldberger, Hayit Greenspan, Shiri Gordon	Unsupervised Image Clustering Using the Information Bottleneck Method.	DAGM-Symposium	2002	DBLP DOI BibTeX RDF	Image Categories, Image Grouping, Gaussian mixture modeling, Unsupervised Clustering, Kullback-Leibler distance, Information bottleneck
28	Philippe Andrey, Philippe Tarroux	Unsupervised Segmentation of Markov Random Field Modeled Textured Images Using Selectionist Relaxation.	IEEE Trans. Pattern Anal. Mach. Intell.	1998	DBLP DOI BibTeX RDF	Markov/Gibbs random fields, partition function approximation, selectionist relaxation, genetic algorithms, Unsupervised texture segmentation
28	Manoranjan Dash, Hua Liu, J. Yao	Dimensionality Reduction of Unsupervised Data.	ICTAI	1997	DBLP DOI BibTeX RDF	Feature Selection, Entropy, Unsupervised
28	Zoltan Kato, Josiane Zerubia, Marc Berthod	Unsupervised Parallel Image Classificiation Using a Hierarchical Markovian Model.	ICCV	1995	DBLP DOI BibTeX RDF	unsupervised parallel image classification, hierarchical Markovian model, segmentation problem, hidden label field parameters, observable image, iterative conditional estimation, estimation-maximization algorithm, tentative labeling, Connection Machine CM200, comparative tests, noisy synthetic images, noisy real images, computer vision, image segmentation, parallel processing, Markov random fields, Markov processes, iterative methods, image classification, remote sensing, remote sensing, maximum likelihood estimation, maximum likelihood estimate, random processes, hierarchical systems, maximum a posteriori estimate, model parameters
28	Allon Guez, John Selinsky	Neurocontroller design via supervised and unsupervised learning.	J. Intell. Robotic Syst.	1989	DBLP DOI BibTeX RDF	global linearization, manual tracking, unsupervised learning, supervised learning, robot control, Nonlinear control, neurocomputing
28	Judith F. Silverman, David B. Cooper	Bayesian Clustering for Unsupervised Estimation of Surface and Texture Models.	IEEE Trans. Pattern Anal. Mach. Intell.	1988	DBLP DOI BibTeX RDF	unsupervised parameter estimation, Bayesian clustering, maximum-likelihood clustering, polynomial models, segmentation, Markov processes, computerised picture processing, computerised picture processing, computerised pattern recognition, computerised pattern recognition, polynomials, Bayes methods, surface models, texture models, depth map, agglomerative clustering, Gaussian-Markov random field
28	Alessandro Agnetis, Paolo Detti, Marco Pranzo, Manbir Singh Sodhi	Sequencing unreliable jobs on parallel machines.	J. Sched.	2009	DBLP DOI BibTeX RDF	Indexable problems, Unsupervised manufacturing systems, Approximation algorithms, NP-hardness, Polymatroids
28	In-Su Kang, Seung-Hoon Na, Jong-Hyeok Lee	Collection-based compound noun segmentation for Korean information retrieval.	Inf. Retr.	2006	DBLP DOI BibTeX RDF	Compound noun segmentation, Unsupervised method, Korean information retrieval
28	Guiomar Corral, Albert Fornells, Elisabet Golobardes, Jaume Abella 0002	Cohesion Factors: Improving the Clustering Capabilities of Consensus.	IDEAL	2006	DBLP DOI BibTeX RDF	AI applications, Network security, Self-Organization Map, Unsupervised Learning, K-means
28	Zhongmin Shi, Evangelos E. Milios, Nur Zincir-Heywood	Post-Supervised Template Induction for Information Extraction from Lists and Tables in Dynamic Web Sources.	J. Intell. Inf. Syst.	2005	DBLP DOI BibTeX RDF	template induction, information extraction, unsupervised learning, grammar induction
28	Yi Peng 0001, Gang Kou, Yong Shi 0001, Zhengxin Chen	Improving Clustering Analysis for Credit Card Accounts Classification.	International Conference on Computational Science (3)	2005	DBLP DOI BibTeX RDF	Credit Card Accounts Classification, CLUTO, unsupervised learning method, Clustering analysis
28	Thomas Martin Lehmann, Jörg Bredno, Klaus Spitzer 0001	Texture-Adaptive Active Contour Models.	ICAPR	2001	DBLP DOI BibTeX RDF	balloon model, texture analysis, active contours, parameterization, unsupervised segmentation
27	Rajat Raina, Anand Madhavan, Andrew Y. Ng	Large-scale deep unsupervised learning using graphics processors.	ICML	2009	DBLP DOI BibTeX RDF
27	Hal Daumé III	Unsupervised search-based structured prediction.	ICML	2009	DBLP DOI BibTeX RDF
27	Chengyuan Ma, Chin-Hui Lee	Unsupervised anchor shot detection using multi-modal spectral clustering.	ICASSP	2008	DBLP DOI BibTeX RDF
27	Suqun Cao, Shitong Wang 0001, Quanyin Zhu, Xiaofeng Chen	Unsupervised Optimal Discriminant Plane Based Feature Extraction Method.	FSKD (2)	2008	DBLP DOI BibTeX RDF
27	Leonid Karlinsky, Michael Dinerstein, Dan Levi, Shimon Ullman	Unsupervised Classification and Part Localization by Consistency Amplification.	ECCV (2)	2008	DBLP DOI BibTeX RDF
27	Guoyan Zheng, Xiao Dong, Miguel Ángel González Ballester	Unsupervised Reconstruction of a Patient-Specific Surface Model of a Proximal Femur from Calibrated Fluoroscopic Images.	MICCAI (1)	2007	DBLP DOI BibTeX RDF	proximal femur, fluoroscopy, multiple-component geometrical model, surface reconstruction, particle filter, point distribution model
27	Peng Liu, Jiaxian Zhu, Lanjuan Liu, Yanhong Li, Xuefeng Zhang	Application of Feature Selection for Unsupervised Learning in Prosecutors' Office.	FSKD (2)	2005	DBLP DOI BibTeX RDF
27	Qing Tao, Gao-wei Wu, Fei-Yue Wang 0001, Jue Wang 0004	Some Marginal Learning Algorithms for Unsupervised Problems.	ISI	2005	DBLP DOI BibTeX RDF
27	Pierre-Marc Jodoin, Max Mignotte	Unsupervised motion detection using a markovian temporal model with global spatial constraints.	ICIP	2004	DBLP DOI BibTeX RDF