1084 search results - page 52 / 217 » Hidden Markov Models with Multiple Observation Processes |
102
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NIPS
2001
15 years 1 months ago
2001
This paper proposes an approach to classification of adjacent segments of a time series as being either of classes. We use a hierarchical model that consists of a feature extract...
120
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ICASSP
2011
IEEE
14 years 3 months ago
2011
IEEE
Acoustic event detection (AED) aims to identify both timestamps and types of multiple events and has been found to be very challenging. The cues for these events often times exist...
CVPR
2003
IEEE
16 years 1 months ago
2003
IEEE
Occlusion is a difficult problem for appearance-based target tracking, especially when we need to track multiple targets simultaneously and maintain the target identities during t...
ICML
2007
IEEE
16 years 19 days ago
2007
IEEE
A new hierarchical nonparametric Bayesian model is proposed for the problem of multitask learning (MTL) with sequential data. Sequential data are typically modeled with a hidden M...
IDEAL
2004
Springer
15 years 5 months ago
2004
Springer
We study a stock trading method based on dynamic bayesian networks to model the dynamics of the trend of stock prices. We design a three level hierarchical hidden Markov model (HHM...