224 search results - page 3 / 45 » A Hidden Markov Model for the TREC Novelty Task |
MICAI
2007
Springer
14 years 1 months ago
2007
Springer
The wavelet transform has been used for feature extraction in many applications of pattern recognition. However, in general the learning algorithms are not designed taking into acc...
AUSAI
2008
Springer
13 years 9 months ago
2008
Springer
Hidden Markov Models are a widely used generative model for analysing sequence data. A variant, Profile Hidden Markov Models are a special case used in Bioinformatics to represent,...
TSMC
2008
13 years 7 months ago
2008
Recent studies have shown that the perception of natural movements--in the sense of being "humanlike"--depends on both joint and task space characteristics of the movemen...
TASLP
2002
13 years 7 months ago
2002
The first stage in many pattern recognition tasks is to generate a good set of features from the observed data. Usually, only a single feature space is used. However, in some compl...
ACL
2009
13 years 5 months ago
2009
We would like to draw attention to Hidden Markov Tree Models (HMTM), which are to our knowledge still unexploited in the field of Computational Linguistics, in spite of highly suc...