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Hidden Markov Model (HMM)
  • http://stats.org.uk/hmm/
  • Image Classification by a Two Dimensional Hidden Markov Model
    Jia Li, Amir Najmi and Robert M.Gray
  • Training Hidden Markov Models with Multiple Observation - A Combinatori Method
    Xiaolin Li, Member, IEEE Computer Society CADlink Technology Corporation, 2440 Don Reid Drive, Suite 100, Ottawa, Ontario, Canada K1H 1E1.
    Marc Parizeau, Member, IEEE Computer Society Departement de Genie Electrique et de Genie Informatique, Universite Laval, Ste-Foy, Quebec, Canada G1K 7P4. parizeau@gel.ulaval.ca and
    Rejean Plamondon, Fellow, IEEE Ecole Polytechnique de Montreal, Montreal, Quebec, Canada H3C 3A7
  • Hidden-Markov-Modelle
    Sonja Waldhausen
    Biocomputing Group am Fachbereich Mathematik, FU Berlin
    Seminar ?uber Bayessche Netzwerke
    16. Januar 2003
  • IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING, VOL. 9, NO. 4, MAY 2001 411
    A Modified BaumWelch Algorithm for Hidden Markov Models with Multiple Observation Spaces
    Paul M. Baggenstoss, Member, IEEE
  • Ten years of HMMs
    Olivier Capp?e CNRS, LTCI & ENST, Dpt. TSI
    46 rue Barrault, 75634 Paris cedex 13, France.
    cappe at tsi.enst.fr
    Final version, March 12 2001
  • Soft Computing 6 (2002) 400 405 Springer-Verlag 2002 DOI 10.1007/s00500-002-0192-8
    Perception-based hidden Markov models: a theoretical framework for data mining and knowledge discovery
    T. D. Pham
  • Gaussian Observation Hidden Markov models for EEG analysis
    William D. Penny and Stephen J. Roberts
    Technical Report, Neural Systems Research Group,
    Department of Electrical and Electronic Engineering,
    Imperial College of Science, Technology and Medicine,
    London SW7 2BT., U.K.
    October 5, 1998
  • Information Extraction with HMMs and Shrinkage
    Dayne Freitag
    Andrew Kachites McCallum
    Just Research 4616 Henry Street Pittsburgh, PA 15213
  • AN HMM APPROACH TO ADAPTIVE DEMODULATION OF QAM SIGNALS IN FADING CHANNELS I. B. COLLINGS AND J. B. MOORE
    Department of Systems Engineering, Research School of Information Science and Engineering,
    Australian National University, Canberra 0200, Australia
    Int. Jour. of Adaptive Cont. and Signal Proc., Vol. 8, No. 5, pp. 457474, Oct. 1994
  • A Bayesian Computer Vision System for Modeling Human Interactions
    Nuria Oliver , Barbara Rosario and Alex Pentland
    Vision and Modeling. Media Laboratory, MIT, Cambridge, MA 02139, USA
    http://nuria.www.media.mit.edu/nuria/humanBehavior/humanBehavior.html
  • Recognition of Head Gestures Using Hidden Markov Models
    Carlos Morimoto, Yaser Yacoob, Larry Davis
    Computer Vision Laboratory, Center for Automation Research University of Maryland, College Park, MD 20742
  • Markov Random Field Models in Computer Vision
    S. Z. Li
    School of Electrical and Electronic Engineering Nanyang Technological University, Singapore 2263
  • A HIDDEN MARKOV MODEL BASED FRAMEWORK FOR RECOGNITION OF HUMANS FROM GAIT SEQUENCES
    Aravind Sundaresan, Amit Roy Chowdhury, Rama Chellappa
    Centre for Automation Research, and Department of Electrical and Computer Engineering
    University of Maryland, College Park, MD 20742
  • Complexity of Comparing Hidden Markov Models
    Rune B. Lyngs and Christian N. S. Pedersen
    Baskin Center for Computer Science and Engineering, University of California,
    BiRC # # # , Department of Computer Science, University of Aarhus, Ny Munkegade