Rath

Results: 409



#Item
261Archive / Modernism / Modern art / Dada / Kurt Schwitters

Jamison Carter Christie Frields David McDonald John O’Brien Jessica Rath Rebbeca Ripple

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Source URL: www.csupomona.edu

Language: English - Date: 2010-03-10 16:13:36
262

REAL ESTATE PARALEGAL Rath, Young and Pignatelli, P.C. is looking for a full-time paralegal with an associate’s degree and a minimum of 5 years of paralegal experience, preferably in a law firm or title company setting

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Source URL: www.nhbar.org

- Date: 2014-08-14 10:44:44
    263United States / Linguistic rights / 111th United States Congress / United States Department of Education / Humanities / 89th United States Congress / Elementary and Secondary Education Act / Education in the United States

    NREAC Meeting Minutes March 9, 2011 Ray Patrick Joe Bard Jay McAdams Jimmy Cunningham Barb Havlicek Steve Breckon Rob Mahaffey Dan Rath Lee Warne Cindy McIntee Bill Garrett Sasha Bartolf

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    Source URL: www.aasa.org

    Language: English - Date: 2011-03-17 08:18:18
    264Dynamic programming / Dynamic time warping / Time series analysis

    Lower-Bounding of Dynamic Time Warping Distances for Multivariate Time Series Toni M. Rath and R. Manmatha∗ Multi-Media Indexing and Retrieval Group Center for Intelligent Information Retrieval University of Massachuse

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    Source URL: ciir.cs.umass.edu

    Language: English - Date: 2003-01-23 15:49:43
    265Human–computer interaction / Speech recognition / Acoustic model / Unsupervised learning / Speech synthesis / Neural network / Computational linguistics / Science / Artificial intelligence

    Language Independent and Unsupervised Acoustic Models for Speech Recognition and Keyword Spotting Kate M. Knill, Mark J.F. Gales, Anton Ragni, Shakti P. Rath Department of Engineering, University of Cambridge Trumpington

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

    Language: English - Date: 2014-06-23 06:43:19
    266Human–computer interaction / Speech recognition / Speech synthesis / OOV / Acoustic model / Language / Neural network / Computational linguistics / Science / Linguistics

    SPEECH RECOGNITION AND KEYWORD SPOTTING FOR LOW RESOURCE LANGUAGES: BABEL PROJECT RESEARCH AT CUED Mark J. F. Gales, Kate M. Knill, Anton Ragni and Shakti P. Rath Cambridge University Engineering Department Trumpington S

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

    Language: English - Date: 2014-06-06 11:44:23
    267Computer vision / Image processing / Dynamic programming / Dynamic time warping / Time series analysis / Machine learning / Shape context / Object recognition / Speech recognition / Artificial intelligence / Information science / Science

    Indexing of Handwritten Historical Documents - Recent Progress R. Manmatha Toni M. Rath Center for Intelligent Information Retrieval Computer Science Department University of Massachusetts Amherst

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    Source URL: ciir.cs.umass.edu

    Language: English - Date: 2003-03-12 15:14:23
    268OOV / Lorelei / Human–computer interaction / Software / Culture / Intelligence Advanced Research Projects Activity / Speech recognition / Keyword spotting

    ASR and KWS for Low Resource Languages: Babel Project Research at CUED Mark Gales, Kate Knill, Anton Ragni, Shakti Rath CUED Babel Team (X. Chen, X. Liu, P.C. Woodland,T. Yoshioka, C. Zhang), Lorelei Babel Team May 2014

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

    Language: English - Date: 2014-05-19 03:57:32
    269Statistics / Automatic image annotation / Image retrieval / Search engine indexing / Recall / Language model / Precision and recall / Document retrieval / Cluster analysis / Information science / Science / Information retrieval

    A Statistical Approach to Retrieving Historical Manuscript Images without Recognition Toni M. Rath, Victor Lavrenko and R. Manmatha∗ Center for Intelligent Information Retrieval University of Massachusetts Amherst, MA

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    Source URL: ciir.cs.umass.edu

    Language: English - Date: 2003-11-13 14:53:03
    270Academia / Rubric / Knowledge / Evaluation methods / Educational technology / Education

    Common Rubric Flaws Review the material for each flaw as described in Building Better Rubrics. Discuss the questions provided with an elbow partner. Common Flaw #1 (p. 6) Identifying criteria as topics or categories rath

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    Source URL: www.aac.ab.ca

    Language: English - Date: 2014-01-27 13:06:55
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