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ICMCS
2005
IEEE
123views Multimedia» more  ICMCS 2005»
14 years 3 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
ICPR
2008
IEEE
14 years 11 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
ICIP
2001
IEEE
14 years 11 months ago
Using hidden Markov model for Chinese business card recognition
Yuan-Kai Wang, Kuo-Chin Fan, Yau-Tarng Juang, Tai-...
ECML
2007
Springer
14 years 3 months ago
Spectral Clustering and Embedding with Hidden Markov Models
Abstract. Clustering has recently enjoyed progress via spectral methods which group data using only pairwise affinities and avoid parametric assumptions. While spectral clustering ...
Tony Jebara, Yingbo Song, Kapil Thadani
COMPLIFE
2006
Springer
14 years 1 months ago
Set-Oriented Dimension Reduction: Localizing Principal Component Analysis Via Hidden Markov Models
We present a method for simultaneous dimension reduction and metastability analysis of high dimensional time series. The approach is based on the combination of hidden Markov model...
Illia Horenko, Johannes Schmidt-Ehrenberg, Christo...