1318 search results - page 51 / 264 » Aggregation-based model reduction of a Hidden Markov Model |
CORR
2008
Springer
13 years 7 months ago
2008
Springer
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
JIIS
2002
13 years 7 months ago
2002
In the traditional setting, text categorization is formulated as a concept learning problem where each instance is a single isolated document. However, this perspective is not appr...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
The maximum a posteriori (MAP) criterion is broadly used in the statistical model-based voice activity detection (VAD) approaches. In the conventional MAP criterion, however, the ...
ICMCS
2006
IEEE
14 years 1 months ago
2006
IEEE
This paper presents a new spatial-HMM(SHMM)for automatically classifying and annotating natural images. Our model is a 2D generalization of the traditional HMM in the sense that b...
TCSV
2008
13 years 7 months ago
2008
In this paper, a new theoretical framework based on hidden Markov model (HMM) and independent component analysis (ICA) mixture model is presented for content analysis of video, nam...