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ICPR
2000
IEEE
16 years 4 months ago
Image Distance Using Hidden Markov Models
We describe a method for learning statistical models of images using a second-order hidden Markov mesh model. First, an image can be segmented in a way that best matches its stati...
Daniel DeMenthon, David S. Doermann, Marc Vuilleum...
ICPR
2008
IEEE
16 years 4 months ago
On efficient Viterbi decoding for hidden semi-Markov models
We present algorithms for improved Viterbi decoding for the case of hidden semi-Markov models. By carefully constructing directed acyclic graphs, we pose the decoding problem as t...
Bonnie K. Ray, Jianying Hu, Ritendra Datta
AMDO
2006
Springer
15 years 6 months ago
Composition of Complex Motion Models from Elementary Human Motions
An appraisal of human motions and particular motion phases is essential for a good interaction between a human and a humanoid robot. We present a new method for the analysis of hum...
Jörg Moldenhauer, Ingo Boesnach, Thorsten Ste...
ICMCS
2005
IEEE
123views Multimedia» more  ICMCS 2005»
15 years 8 months ago
Hidden Markov Model Based Weighted Likelihood Discriminant for Minimum Error Shape Classification
The goal of this communication is to present a weighted likelihood discriminant for minimum error shape classification. Different from traditional Maximum Likelihood (ML) methods...
Ninad Thakoor, Sungyong Jung, Jean Gao
PAMI
2011
14 years 5 months ago
Hidden Part Models for Human Action Recognition: Probabilistic versus Max Margin
—We present a discriminative part-based approach for human action recognition from video sequences using motion features. Our model is based on the recently proposed hidden condi...
Yang Wang 0003, Greg Mori