141 search results - page 15 / 29 » Spectral Clustering and Embedding with Hidden Markov Models |
ESANN
2006
13 years 9 months ago
2006
Spectral classification, segmentation and data reduction are the three main problems in hyperspectral image analysis. In this paper we propose a Bayesian estimation approach which ...
NIPS
2001
13 years 9 months ago
2001
In previous work on "transformed mixtures of Gaussians" and "transformed hidden Markov models", we showed how the EM algorithm in a discrete latent variable mo...
NIPS
2003
13 years 9 months ago
2003
Clustering aims at extracting hidden structure in dataset. While the problem of finding compact clusters has been widely studied in the literature, extracting arbitrarily formed ...
ICASSP
2009
IEEE
13 years 5 months ago
2009
IEEE
This paper takes phonetic information into account for data alignment in text-independent voice conversion. Hidden Markov Models are used for representing the phonetic structure o...
ICMCS
2006
IEEE
14 years 1 months ago
2006
IEEE
In this paper, we present a speaker identification algorithm for a microphone array based on a first-order joint Hidden Markov Model (HMM) where the observations correspond to t...