40 search results - page 2 / 8 » Monte Carlo Hidden Markov Models: Learning Non-Parametric Mo... |
ICML
2004
IEEE
14 years 5 months ago
2004
IEEE
This paper addresses the problem of constructing good action selection policies for agents acting in partially observable environments, a class of problems generally known as Part...
CVPR
2004
IEEE
13 years 8 months ago
2004
IEEE
In this paper, we propose a generative model for representing complex motion, such as wavy river, dancing fire and dangling cloth. Our generative method consists of four component...
AAAI
2011
12 years 4 months ago
2011
Recently, a number of researchers have proposed spectral algorithms for learning models of dynamical systems—for example, Hidden Markov Models (HMMs), Partially Observable Marko...
ICIP
2007
IEEE
14 years 6 months ago
2007
IEEE
We develop a hierarchical, nonparametric statistical model for wavelet representations of natural images. Extending previous work on Gaussian scale mixtures, wavelet coefficients ...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
We present learning and inference algorithms for a versatile class of partially observed vector autoregressive (VAR) models for multivariate time-series data. VAR models can captu...