Conditional random field

Results: 247



#Item
21Artificial intelligence / Machine learning / Learning / Graphical models / Image segmentation / Discriminative model / Principal component analysis / Conditional random field / AdaBoost / Functional magnetic resonance imaging / Markov random field / Bag-of-words model in computer vision

1 Brain Anatomical Structure Segmentation by Hybrid Discriminative/Generative Models Zhuowen Tu, Katherine L. Narr, Piotr Doll´ar, Ivo Dinov, Paul M. Thompson, and Arthur W. Toga

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Source URL: pages.ucsd.edu

Language: English - Date: 2007-08-09 13:56:19
22Markov models / Machine learning / Artificial intelligence / Learning / Computational linguistics / Speech recognition software / Computer accessibility / Speech recognition / Hidden Markov model / Conditional random field / Language model / Image segmentation

STRUCTURED DISCRIMINATIVE MODELS USING DEEP NEURAL-NETWORK FEATURES R. C. van Dalen, J. Yang, H. Wang, A. Ragni, C. Zhang, M. J. F. Gales Department of Engineering, University of Cambridge, United Kingdom ABSTRACT State-

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Source URL: mi.eng.cam.ac.uk

Language: English - Date: 2016-07-12 11:46:12
23Machine learning / Statistics / Learning / Graphical models / Conditional random field / Support vector machine / Expectationmaximization algorithm

Latent Trees for Estimating Intensity of Facial Action Units Sebastian Kaltwang Imperial College London Sinisa Todorovic Oregon State University

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Source URL: ibug.doc.ic.ac.uk

Language: English - Date: 2015-11-12 06:27:16
24Statistics / Learning / Artificial intelligence / Machine learning / Statistical models / Statistical inference / Graphical models / Structured prediction / Discriminative model / Conditional random field / Generative model / Hidden Markov model

Structured and Infinite Discriminative Models for Speech Recognition Jingzhou Yang Homerton College

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Source URL: mi.eng.cam.ac.uk

Language: English - Date: 2016-07-26 12:00:52
25Compiler construction / Bibliography / Conditional random field / Machine learning / Parsing / N-gram / CiteSeer / Author citation / Lexical analysis / Parenthetical referencing / String / Reference management software

ParsCit: An open-source CRF reference string parsing package Isaac G. Councill∗ , C. Lee Giles∗, Min-Yen Kan† ∗ College of Information Sciences & Technology The Pennsylvania State University

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Source URL: wing.comp.nus.edu.sg

Language: English
26Machine learning / Structured prediction / Algorithm / Mathematical logic / Theoretical computer science / Conditional random field / Support vector machine / Graphical model

UNIVERSIDADE TÉCNICA DE LISBOA INSTITUTO SUPERIOR TÉCNICO CARNEGIE MELLON UNIVERSITY The Geometry of Constrained Structured Prediction:

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Source URL: users.isr.ist.utl.pt

Language: English - Date: 2012-07-25 04:27:02
27Computational linguistics / Named-entity recognition / Conditional random field / Structured prediction / Malayalam / Support vector machine / Machine translation / Entity

AMRITA@FIRE-2014: Named Entity Recognition for Indian Languages Abinaya.N, Neethu John, Dr.M.Anand Kumar and Dr.K.P Soman Center for Excellence in Computational Engineering and Networking Amrita School of Engineering Amr

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Source URL: www.isical.ac.in

Language: English - Date: 2014-12-05 23:51:05
28Machine learning / Computational linguistics / Artificial neural networks / Natural language processing / Graphical models / Word embedding / Word-sense disambiguation / Word2vec / Conditional random field / Named-entity recognition / Curriculum / Support vector machine

Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning Yulia Tsvetkov♠ Manaal Faruqui♠ Wang Ling♣ Brian MacWhinney♠ Chris Dyer♣♠ ♠ Carnegie Mellon University ♣ G

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Source URL: www.aclweb.org

Language: English - Date: 2016-08-01 10:37:36
29Computational neuroscience / Machine learning / Conditional random field / Computer vision / Image segmentation / Support vector machine / Convolutional neural network / Artificial neural network

Learning Depth-Sensitive Conditional Random Fields for Semantic Segmentation of RGB-D Images

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Source URL: amueller.github.io

Language: English - Date: 2016-08-04 15:59:56
30Computational linguistics / Syntax / Natural language processing / Statistical natural language processing / Natural language parsing / Parsing / Treebank / Named-entity recognition / Parse tree / Information extraction / Conditional random field / Statistical parsing

Joint Parsing and Named Entity Recognition Jenny Rose Finkel and Christopher D. Manning Computer Science Department Stanford University Stanford, CA 94305 {jrfinkel|manning}@cs.stanford.edu

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Source URL: nlp.stanford.edu

Language: English - Date: 2009-05-24 04:21:01
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