Conditional random field

Results: 247



#Item
41Concise Integer Linear Programming Formulations for Dependency Parsing ∗ Andr´e F. T. Martins∗† Noah A. Smith∗ Eric P. Xing∗ School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA

Concise Integer Linear Programming Formulations for Dependency Parsing ∗ Andr´e F. T. Martins∗† Noah A. Smith∗ Eric P. Xing∗ School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA

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Source URL: homes.cs.washington.edu

Language: English - Date: 2015-07-30 17:51:06
42Calibrated Structured Prediction Percy Liang Department of Computer Science Stanford University Stanford, CA 94305

Calibrated Structured Prediction Percy Liang Department of Computer Science Stanford University Stanford, CA 94305

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Source URL: cs.stanford.edu

Language: English - Date: 2015-10-31 00:27:55
43Sensor Substitution for Video-based Action Recognition Christian Rupprecht∗,1,2 , Colin Lea∗,2 Federico Tombari1,3 , Nassir Navab1,2 , Gregory D. Hager2 Abstract— There are many applications where domainspecific se

Sensor Substitution for Video-based Action Recognition Christian Rupprecht∗,1,2 , Colin Lea∗,2 Federico Tombari1,3 , Nassir Navab1,2 , Gregory D. Hager2 Abstract— There are many applications where domainspecific se

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Source URL: campar.in.tum.de

Language: English - Date: 2016-03-04 11:42:56
44UNIVERSITY OF CALIFORNIA RIVERSIDE Modeling Social and Temporal Context for Video Analysis  A Dissertation submitted in partial satisfaction

UNIVERSITY OF CALIFORNIA RIVERSIDE Modeling Social and Temporal Context for Video Analysis A Dissertation submitted in partial satisfaction

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Source URL: rlair.cs.ucr.edu

Language: English - Date: 2015-07-02 20:52:00
45Hindi Named Entity Recognizer for NER task of FIRE 2013 Rahul Sharnagat and Pushpak Bhattacharyya IIT Bombay, Mumbai, India {, }

Hindi Named Entity Recognizer for NER task of FIRE 2013 Rahul Sharnagat and Pushpak Bhattacharyya IIT Bombay, Mumbai, India {, }

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Source URL: www.isical.ac.in

Language: English - Date: 2013-11-28 04:40:00
46Supervised Learning of Edges and Object Boundaries Piotr Doll´ar Zhuowen Tu  Serge Belongie

Supervised Learning of Edges and Object Boundaries Piotr Doll´ar Zhuowen Tu Serge Belongie

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Source URL: pages.ucsd.edu

Language: English - Date: 2006-04-02 13:05:32
47Combining Discriminative Features to Infer Complex Trajectories  David A. Ross  Simon Osindero

Combining Discriminative Features to Infer Complex Trajectories David A. Ross Simon Osindero

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Source URL: www.cs.toronto.edu

Language: English - Date: 2006-06-07 15:00:45
48Programming with “Big Code”: Lessons, Techniques and Applications Pavol Bielik1 , Veselin Raychev1 , and Martin Vechev1 1  Department of Computer Science, ETH Zurich, Switzerland

Programming with “Big Code”: Lessons, Techniques and Applications Pavol Bielik1 , Veselin Raychev1 , and Martin Vechev1 1 Department of Computer Science, ETH Zurich, Switzerland

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Source URL: www.srl.inf.ethz.ch

Language: English - Date: 2015-04-14 05:42:43
49Evidence-Specific Structures for Rich Tractable CRFs  Carlos Guestrin Carnegie Mellon University

Evidence-Specific Structures for Rich Tractable CRFs Carlos Guestrin Carnegie Mellon University

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Source URL: select.cs.cmu.edu

Language: English - Date: 2010-12-02 01:46:24
50Extracting Route Directions from Web Pages Xiao Zhang? , Prasenjit Mitra?† , Sen Xu‡ , Anuj R. Jaiswal† , Alex Klippel‡ , Alan MacEachren‡ ?  Department of Computer Science and Engineering

Extracting Route Directions from Web Pages Xiao Zhang? , Prasenjit Mitra?† , Sen Xu‡ , Anuj R. Jaiswal† , Alex Klippel‡ , Alan MacEachren‡ ? Department of Computer Science and Engineering

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Source URL: www.cognitivegiscience.psu.edu

Language: English - Date: 2010-09-21 11:19:59