HMMS

Results: 37



#Item
11Layered Representations for Human Activity Recognition Nuria Oliver Eric Horvitz Adaptive Systems & Interaction Microsoft Research Redmond, WA 98052, USA

Layered Representations for Human Activity Recognition Nuria Oliver Eric Horvitz Adaptive Systems & Interaction Microsoft Research Redmond, WA 98052, USA

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Source URL: www.nuriaoliver.com

Language: English - Date: 2016-02-16 11:13:24
12A Comparison of HMMs and Dynamic Bayesian Networks for Recognizing Office Activities Nuria Oliver and Eric Horvitz Adaptive Systems & Interaction, Microsoft Research, Redmond, WA USA {nuria, horvitz}@microsoft.com Abstra

A Comparison of HMMs and Dynamic Bayesian Networks for Recognizing Office Activities Nuria Oliver and Eric Horvitz Adaptive Systems & Interaction, Microsoft Research, Redmond, WA USA {nuria, horvitz}@microsoft.com Abstra

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Source URL: www.nuriaoliver.com

Language: English - Date: 2016-02-16 11:17:16
13Vocal Tract Length Perturbation for Speech Recognition with DNN-HMMs Navdeep Jaitly ● Geoffrey Hinton ●

Vocal Tract Length Perturbation for Speech Recognition with DNN-HMMs Navdeep Jaitly ● Geoffrey Hinton ●

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Source URL: www.cs.toronto.edu

Language: English - Date: 2013-08-04 22:13:51
    14Accelerated Profile HMM Searches Sean R. Eddy * HHMI Janelia Farm Research Campus, Ashburn, Virginia, United States of America Abstract Profile hidden Markov models (profile HMMs) and probabilistic inference methods have

    Accelerated Profile HMM Searches Sean R. Eddy * HHMI Janelia Farm Research Campus, Ashburn, Virginia, United States of America Abstract Profile hidden Markov models (profile HMMs) and probabilistic inference methods have

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    Source URL: eddylab.org

    Language: English - Date: 2015-08-22 11:30:21
      15Conditional Estimation of HMMs for Information Extraction Joseph Smarr Symbolic Systems Program Stanford University Stanford, CA

      Conditional Estimation of HMMs for Information Extraction Joseph Smarr Symbolic Systems Program Stanford University Stanford, CA

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      Source URL: www.josephsmarr.com

      Language: English - Date: 2007-09-05 22:15:00
        16Accelerated Profile HMM Searches Sean R. Eddy * HHMI Janelia Farm Research Campus, Ashburn, Virginia, United States of America Abstract Profile hidden Markov models (profile HMMs) and probabilistic inference methods have

        Accelerated Profile HMM Searches Sean R. Eddy * HHMI Janelia Farm Research Campus, Ashburn, Virginia, United States of America Abstract Profile hidden Markov models (profile HMMs) and probabilistic inference methods have

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        Source URL: selab.janelia.org

        Language: English - Date: 2014-09-02 13:41:21
          17Signal Aggregate Constraints in Additive Factorial HMMs, with Application to Energy Disaggregation Mingjun Zhong, Nigel Goddard, Charles Sutton School of Informatics University of Edinburgh

          Signal Aggregate Constraints in Additive Factorial HMMs, with Application to Energy Disaggregation Mingjun Zhong, Nigel Goddard, Charles Sutton School of Informatics University of Edinburgh

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          Source URL: homepages.inf.ed.ac.uk

          Language: English - Date: 2014-11-07 12:03:01
          18MEASURING TARGET COST IN UNIT SELECTION WITH KL-DIVERGENCE BETWEEN CONTEXT-DEPENDENT HMMS Yong Zhao, Peng Liu, Yusheng Li, Yining Chen and Min Chu Microsoft Research Asia, Beijing, China, 100080 {yzhao, pengliu, yushli,

          MEASURING TARGET COST IN UNIT SELECTION WITH KL-DIVERGENCE BETWEEN CONTEXT-DEPENDENT HMMS Yong Zhao, Peng Liu, Yusheng Li, Yining Chen and Min Chu Microsoft Research Asia, Beijing, China, 100080 {yzhao, pengliu, yushli,

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          Source URL: research.microsoft.com

          Language: English - Date: 2009-08-10 10:41:28
          19Bat Species Identification from Zero Crossing and Full Spectrum Echolocation Calls using HMMs, Fisher Scores, Unsupervised Clustering and Balanced Winnow Pairwise Classifiers Ian Agranat, Wildlife Acoustics, Inc. Concord

          Bat Species Identification from Zero Crossing and Full Spectrum Echolocation Calls using HMMs, Fisher Scores, Unsupervised Clustering and Balanced Winnow Pairwise Classifiers Ian Agranat, Wildlife Acoustics, Inc. Concord

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          Source URL: eagle.wildlifeacoustics.com

          Language: English - Date: 2013-02-02 09:23:19
          20HERD: The Highest Expected Reward Decoding for HMMs with Application to Recombination Detection ˇ Brejová Brona Department of Computer Science

          HERD: The Highest Expected Reward Decoding for HMMs with Application to Recombination Detection ˇ Brejová Brona Department of Computer Science

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          Source URL: www.cs.ucr.edu

          Language: English - Date: 2010-08-20 17:45:42