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Applied mathematics / Bioinformatics / Computational linguistics / Models of computation / Hidden Markov model / Speech recognition / Artificial neural network / Markov chain / Hidden semi-Markov model / Markov models / Statistics / Machine learning


c 2004 by Kevin Michael Squire. All rights reserved. HMM-BASED SEMANTIC LEARNING FOR A MOBILE ROBOT BY
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Document Date: 2005-05-13 18:11:18

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File Size: 3,13 MB

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Company

APPENDIX B MOBILE ROBOT SOFTWARE / Beckman Institute Robotics Laboratory / /

Facility

Case Western Reserve University / Graduate College / Beckman Institute Robotics Laboratory / Regent Ballroom / University of Illinois / Beckman Institute / /

IndustryTerm

message passing algorithm / artificial neural networks / energy / /

Organization

Graduate College / University of Illinois / Beckman Institute / Case Western Reserve University / SEMI / /

Person

Ankur Garg / Thomas Huang / Matthew McClain / Julie Baterna / Thomas Anastasio / Sarunya / Natasha Kipp / Zaki Mohammed / Kevin Michael Squire / Rajiv Maheswaran / Qiong Liu / Anand Selvaraj / Craig Squire / Seth Hutchinson / Weiyu Zhu / Patrick Xavier / Saptarshi Bandyopadhyay / Mark Hasegawa-Johnson / Hala Jawlakh / Danfeng Li / Matthew Kleffner / Consuelo Waight / Dominic Frigon / Stephen Levinson / Fred Rothganger / James Davidson / Mike Smith / Ruben Aveledo / Sarah Miller / Donna Brown / Ruei-Sung Lin / Carrie Owen / /

Position

General / controller / adviser / /

ProvinceOrState

Illinois / /

Technology

B.4.3 Local message passing algorithm / speech recognition / C.2 Baum-Welch Algorithm / Finite state machine / 119 119 120 122 ALGORITHM / SIMULATION / HIDDEN MARKOV MODEL ALGORITHMS / C.3 Viterbi-Based Algorithms / RMLE ALGORITHM / /

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