200 search results - page 13 / 40 » Variational nonparametric Bayesian Hidden Markov Model |
106
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ENC
2004
IEEE
15 years 2 months ago
2004
IEEE
Hidden Markov models have become the preferred technique for visual recognition of human gestures. However, the recognition rate depends on the set of visual features used, and al...
NIPS
1996
14 years 11 months ago
1996
We study a time series model that can be viewed as a decision tree with Markov temporal structure. The model is intractable for exact calculations, thus we utilize variational app...
DSN
2007
IEEE
15 years 4 months ago
2007
IEEE
In this paper, we present a variational Bayesian (VB) approach to computing the interval estimates for nonhomogeneous Poisson process (NHPP) software reliability models. This appr...
PKDD
2009
Springer
15 years 5 months ago
2009
Springer
Abstract. Gaussian processes have successfully been used to learn preferences among entities as they provide nonparametric Bayesian approaches for model selection and probabilistic...
99
Voted
ICML
2009
IEEE
15 years 11 months ago
2009
IEEE
We propose a nonparametric extension to the factor analysis problem using a beta process prior. This beta process factor analysis (BPFA) model allows for a dataset to be decompose...