472 search results - page 65 / 95 » On the Entropy of a Hidden Markov Process |
EMNLP
2009
13 years 6 months ago
2009
We extend previous work on fully unsupervised part-of-speech tagging. Using a non-parametric version of the HMM, called the infinite HMM (iHMM), we address the problem of choosing...
ICIP
2006
IEEE
14 years 10 months ago
2006
IEEE
Dimensionality reduction, spectral classification and segmentation are the three main problems in hyperspectral image analysis. In this paper we propose a Bayesian estimation appr...
ICIP
2005
IEEE
14 years 2 months ago
2005
IEEE
In this paper, we propose a novel technique for modelbased recognition of complex object motion trajectories using Hidden Markov Models (HMM). We build our models on Principal Com...
ICASSP
2011
IEEE
13 years 6 days 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...
DKE
2007
13 years 8 months ago
2007
Random walk graph and Markov chain based models are used heavily in many data and system analysis domains, including web, bioinformatics, and queuing. These models enable the desc...