5 search results - page 1 / 1 » Hidden Markov Model Based Weighted Likelihood Discriminant f... |
ICMCS
2005
IEEE
13 years 10 months ago
2005
IEEE
The goal of this communication is to present a weighted likelihood discriminant for minimum error shape classification. Different from traditional Maximum Likelihood (ML) methods...
PR
2010
13 years 2 months ago
2010
Wavelet analysis has found widespread use in signal processing and many classification tasks. Nevertheless, its use in dynamic pattern recognition have been much more restricted ...
ICDAR
2007
IEEE
13 years 10 months ago
2007
IEEE
Free style Chinese handwriting recognition continues to pose a challenge to researchers due to the variety of Chinese writing styles. To recognize handwritten characters in an onl...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
We introduce Bayesian sensing hidden Markov models (BS-HMMs) to represent speech data based on a set of state-dependent basis vectors. By incorporating the prior density of sensin...
MVA
2007
13 years 5 months ago
2007
of the fundamental challenges of human action recognition is accounting for the variability that arises during video capturing. For a specific action class, the 2D observations of...