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Multiple-instance learning
Results: 43

#	Item
21	Modeling Local and Global Deformations in Deep Learning: Epitomic Convolution, Multiple Instance Learning, and Sliding Window Detection George Papandreou Google Iasonas Kokkinos and Pierre-Andr´e Savalle Add to Reading List Source URL: www.cv-foundation.org Language: English - Date: 2015-05-25 21:19:04 Convolution Epitome Neural network Statistical classification Network architecture Segmentation Knowledge Image processing Mathematics Statistics
22	1 MILIS: Multiple Instance Learning with Instance Selection Zhouyu Fu, Antonio Robles-Kelly Senior Member, IEEE, Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2010-11-02 00:51:11
23	Instance-level Semi-supervised Multiple Instance Learning Yangqing Jia and Changshui Zhang State Key Laboratory on Intelligent Technology and Systems Tsinghua National Laboratory for Information Science and Technology (T Add to Reading List Source URL: daggerfs.com Language: English
24	Online Multiple Instance Learning Applied to Hand Detection in a Humanoid Robot Carlo Ciliberto Robotics, Brain and Cognitive Sciences, IIT Machine Learning Day Add to Reading List Source URL: wiki.icub.org Language: English - Date: 2010-06-10 10:13:03
25	An Instance Selection Approach to Multiple Instance Learning Zhouyu Fu∗ 1 and Antonio Robles-Kelly2,3 1 Gippsland School of IT, Monash University, Churchill, VIC 3842, Australia 2 National ICT Australia †, Locked Bag Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2009-04-01 18:15:07 Artificial intelligence Support vector machine Multiple-instance learning Multiclass classification Pruning Supervised learning Pattern recognition Boosting methods for object categorization Machine learning Statistics Statistical classification
26	Online Multiple Instance Learning: A Boosting Approach Carlo Ciliberto SINA – Genova – Boosting Add to Reading List Source URL: www.lira.dist.unige.it Language: English - Date: 2011-12-20 06:51:20 AdaBoost Statistical classification Multiple-instance learning Boosting methods for object categorization LPBoost Machine learning Ensemble learning Boosting
27	Multiple-Instance Learning with Instance Selection via Dominant Sets Aykut Erdem and Erkut Erdem Hacettepe University, 06800 Beytepe, Ankara, Turkey , Add to Reading List Source URL: web.cs.hacettepe.edu.tr Language: English - Date: 2011-07-23 04:48:24 Multivariate statistics Support vector machine Multiple-instance learning Cluster analysis Pattern recognition Binary classification Statistics Machine learning Statistical classification
28	A Phase Transition-Based Perspective on Multiple Instance Kernels Romaric Gaudel1,2 , Mich`ele Sebag1 , and Antoine Cornu´ejols3 1 CNRS − INRIA − Univ. Paris-Sud, FOrsay, France Add to Reading List Source URL: www.lri.fr Language: English - Date: 2007-11-19 08:56:00 Support vector machine Machine learning Constraint programming Satisfiability Active learning Constraint satisfaction problem PP Boolean satisfiability problem Theoretical computer science Statistical classification Applied mathematics
29	Extracting Meronyms for a Biology Knowledge Base Using Distant Supervision Xiao Ling Peter Clark Add to Reading List Source URL: www.cs.utexas.edu Language: English - Date: 2013-09-23 10:50:51 Linguistics Lexical semantics Natural language processing Semantics Machine learning Word-sense disambiguation Named-entity recognition Precision and recall Multiple-instance learning Science Statistics Computational linguistics
30	MICCLLR: Multiple-Instance Learning using Class Conditional Log Likelihood Ratio Yasser EL-Manzalawy1,2 and Vasant Honavar1 1 Department of Computer Science Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2009-07-11 21:20:08 Artificial intelligence Ensemble learning AdaBoost Support vector machine Boosting Multiple-instance learning Naive Bayes classifier Supervised learning Classifier Statistics Machine learning Statistical classification

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