1622 search results - page 14 / 325 » Learning a Hidden Matching |
CORR
2008
Springer
14 years 9 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...
FOSSACS
2003
Springer
15 years 2 months ago
2003
Springer
We define an operational semantics and a type system for manipulating semistructured data that contains hidden information. The data model is simple labeled trees with a hiding op...
67
Voted
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
In this paper, we present the Hidden Discrete Tempo Model, an effective Dynamic Bayesian Network for audio to score matching. Its main feature is an explicit modeling of tempo, wh...
WWW
2008
ACM
15 years 10 months ago
2008
ACM
This paper presents a general framework for building classifiers that deal with short and sparse text & Web segments by making the most of hidden topics discovered from larges...
IJCNN
2000
IEEE
15 years 1 months ago
2000
IEEE
This paper presents an unsupervised segmentation method for feature sequences based on competitivelearning hidden Markov models. Models associated with the nodes of the Self-Organ...