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Refined by: author/creator: University of California, San Diego. Computer Science and Engineering remove
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1
An efficient online feature extraction algorithm for neural networks.
An efficient online feature extraction algorithm for neural networks.
An efficient online feature extraction algorithm for neural networks.
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An efficient online feature extraction algorithm for neural networks.

Pouya. Bozorgmehr University of California, San Diego. Computer Science and Engineering. 2009

Masters Abstracts International 48-02.

Online access

2
Modeling probability distributions with Predictive State Representations.
Modeling probability distributions with Predictive State Representations.
Modeling probability distributions with Predictive State Representations.
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Modeling probability distributions with Predictive State Representations.

Eric Walter. Wiewiora University of California, San Diego. Computer Science and Engineering. 2007

Dissertation Abstracts International 68-11B.

Online access

3
Image segmentation and contextual modeling for object recognition.
Image segmentation and contextual modeling for object recognition.
Image segmentation and contextual modeling for object recognition.
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Image segmentation and contextual modeling for object recognition.

Andrew. Rabinovich University of California, San Diego. Computer Science and Engineering. 2008

Dissertation Abstracts International 69-11B.

Online access

4
Exploiting Label Correlations for Multi-label Classification.
Exploiting Label Correlations for Multi-label Classification.
Exploiting Label Correlations for Multi-label Classification.
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Exploiting Label Correlations for Multi-label Classification.

Cheng-Xian. Li University of California, San Diego. Computer Science and Engineering. 2011

Masters Abstracts International 49-05.

Online access

5
A comparison of methods for learning cost-sensitive classifiers.
A comparison of methods for learning cost-sensitive classifiers.
A comparison of methods for learning cost-sensitive classifiers.
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A comparison of methods for learning cost-sensitive classifiers.

Michael T. Green University of California, San Diego. Computer Science and Engineering. 2010

Masters Abstracts International 48-05.

Online access

6
Online Learning of Large Margin Hidden Markov Models for Automatic Speech Recognition.
Online Learning of Large Margin Hidden Markov Models for Automatic Speech Recognition.
Online Learning of Large Margin Hidden Markov Models for Automatic Speech Recognition.
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Online Learning of Large Margin Hidden Markov Models for Automatic Speech Recognition.

Chih-Chieh. Cheng University of California, San Diego. Computer Science and Engineering. 2011

Dissertation Abstracts International 72-09B.

Online access

7
Two Faces are Better Than One---Face Recognition in Group Photographs.
Two Faces are Better Than One---Face Recognition in Group Photographs.
Two Faces are Better Than One---Face Recognition in Group Photographs.
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Two Faces are Better Than One---Face Recognition in Group Photographs.

Ohil Krishnamurthy. Manyam University of California, San Diego. Computer Science and Engineering. 2011

Masters Abstracts International 49-06.

Online access

8
Towards Grammaticality and Fluency: Characterizing and Correcting ESL Errors Using Dictionary Random Walks and Other Means.
Towards Grammaticality and Fluency: Characterizing and Correcting ESL Errors Using Dictionary Random Walks and Other Means.
Towards Grammaticality and Fluency: Characterizing and Correcting ESL Errors Using Dictionary Random Walks and Other Means.
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eBook 		Add to e-Shelf

Towards Grammaticality and Fluency: Characterizing and Correcting ESL Errors Using Dictionary Random Walks and Other Means.

Randy. West University of California, San Diego. Computer Science and Engineering. 2011

Masters Abstracts International 49-06.

Online access

9
Latent feature models for dyadic prediction.
Latent feature models for dyadic prediction.
Latent feature models for dyadic prediction.
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Latent feature models for dyadic prediction.

Aditya Krishna. Menon University of California, San Diego. Computer Science and Engineering. 2013

Dissertation Abstracts International 74-07B(E).

Online access

10
Design and development of a semantic music discovery engine.
Design and development of a semantic music discovery engine.
Design and development of a semantic music discovery engine.
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Design and development of a semantic music discovery engine.

Douglas Ross. Turnbull University of California, San Diego. Computer Science and Engineering. 2008

Dissertation Abstracts International 69-08B.

Online access

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