Structured SVM

Results: 34



#Item
11Statistical classification / Structured SVM / Ranking SVM / Structured prediction / Regression analysis / Loss function / Statistics / Support vector machines / Econometrics

Taxonomic Multi-class Prediction and Person Layout using Efficient Structured Ranking Arpit Mittal1 , Matthew B. Blaschko2 , Andrew Zisserman1 , and Philip H. S. Torr3 1 2

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Source URL: www.robots.ox.ac.uk

Language: English - Date: 2012-08-06 03:10:26
12Structured SVM / Regression analysis / Econometrics / Structured prediction / American University in Cairo / Receiver operating characteristic / Combinatory logic / Logistic regression / Bayesian network / Statistics / Statistical classification / Machine learning

Learning Structured Models with the AUC Loss and Its Generalizations Nir Rosenfeld Hebrew University Jerusalem, Israel

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Source URL: www.cs.huji.ac.il

Language: English - Date: 2014-02-23 18:33:30
13Mathematics / Structured SVM / Support vector machine / Duality / Linear programming / Machine learning / Convex optimization / Statistics / Applied mathematics

Efficient Training of Structured SVMs via Soft Constraints Ofer Meshi TTI Chicago Nathan Srebro

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Source URL: www.opt-ml.org

Language: English - Date: 2014-12-10 11:27:57
14Support vector machines / Structured SVM / Geographic information system / Tag / Caltech 101 / Statistics / Information / Statistical classification

Landmark Classification in Large-scale Image Collections Yunpeng Li David J. Crandall Daniel P. Huttenlocher Department of Computer Science, Cornell University Ithaca, NY[removed]USA

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Source URL: vision.soic.indiana.edu

Language: English - Date: 2014-08-03 00:38:07
15Computational statistics / Cluster analysis / Mixture model / Structured SVM / Economic model / Model / Pattern recognition / Machine learning / Statistics / Learning

DUAN, BATRA, CRANDALL: COMPOSITE MODELS FOR HUMAN POSE ESTIMATION 1 A Multi-layer Composite Model for Human Pose Estimation

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Source URL: vision.soic.indiana.edu

Language: English - Date: 2014-08-03 00:38:08
16Support vector machines / Structured SVM / Geographic information system / Tag / Caltech 101 / Statistics / Information / Statistical classification

Landmark Classification in Large-scale Image Collections Yunpeng Li David J. Crandall Daniel P. Huttenlocher Department of Computer Science, Cornell University Ithaca, NY[removed]USA

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Source URL: www.cs.cornell.edu

Language: English - Date: 2009-12-12 11:06:56
17Graphical models / Bayesian statistics / Structured SVM / Function / Belief propagation / Variable / Bayesian network / Mathematics / Statistics / Elementary mathematics

Part & Clamp: Efficient Structured Output Learning Patrick Pletscher ETH Zurich Z¨ urich, Switzerland

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Source URL: jmlr.csail.mit.edu

Language: English - Date: 2012-04-26 08:56:51
18Support vector machines / Pattern recognition / Kernel / Cross-validation / Perceptron / Regression analysis / Structured SVM / Least squares support vector machine / Statistics / Machine learning / Statistical classification

Joint Kernel Support Estimation for Structured Prediction Christoph H. Lampert, Matthew B. Blaschko {chl, blaschko}@tuebingen.mpg.de Max Planck Institute for Biological Cybernetics, T¨ ubingen, Germany

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Source URL: www.is.tuebingen.mpg.de

Language: English - Date: 2011-01-20 08:12:39
19Support vector machines / Applied linguistics / Statistical classification / Discourse analysis / Corpora / Enron / Structured SVM / International Corpus of English / Part-of-speech tagging / Linguistics / Statistics / Science

Contrasting the Interaction Structure of an Email and a Telephone Corpus: A Machine Learning Approach to Annotation of Dialogue Function Units Jun Hu Department of Computer Science Columbia University New York, NY, USA

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Source URL: www1.ccls.columbia.edu

Language: English - Date: 2009-07-20 07:44:40
20Artificial intelligence / Support vector machines / Information retrieval / Statistical classification / Learning to rank / Linear algebra / Hinge loss / Structured SVM / Ranking SVM / Mathematics / Algebra / Machine learning

Perturbation based Large Margin Approach for Ranking Eunho Yang University of Texas at Austin Ambuj Tewari

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Source URL: jmlr.csail.mit.edu

Language: English - Date: 2012-04-26 08:57:12
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