90 search results - page 2 / 18 » Utile distinction hidden Markov models |
TSP
2010
12 years 11 months ago
2010
We address the problem in signal classification applications, such as automatic speech recognition (ASR) systems that employ the hidden Markov model (HMM), that it is necessary to...
ICMCS
2000
IEEE
13 years 8 months ago
2000
IEEE
Video classi cation and segmentation are fundamental steps for e cient accessing, retrieving and browsing large amount of video data. We have developed a scene classi cationscheme...
CORR
2008
Springer
13 years 4 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...
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
Compressive sensing aims to recover a sparse or compressible signal from a small set of projections onto random vectors; conventional solutions involve linear programming or greed...
NAACL
1994
13 years 6 months ago
1994
The processing of Japanese text is complicated by the fact that there are no word delimiters. To segment Japanese text, systems typically use knowledge-based methods and large lex...