193 search results - page 2 / 39 » Sparseness Achievement in Hidden Markov Models |
ESANN
2008
13 years 6 months ago
2008
Abstract. An architecture for achieving word recognition and incremental learning of new words in a language processing system is presented. The architecture is based on neural ass...
TSP
2010
12 years 12 months ago
2010
We consider the problem of learning Gaussian multiresolution (MR) models in which data are only available at the finest scale and the coarser, hidden variables serve both to captu...
EMNLP
2010
13 years 3 months ago
2010
A word in one language can be translated to zero, one, or several words in other languages. Using word fertility features has been shown to be useful in building word alignment mo...
ICML
1999
IEEE
14 years 6 months ago
1999
IEEE
We present a learning algorithm for non-parametric hidden Markov models with continuous state and observation spaces. All necessary probability densities are approximated using sa...
ICIP
2005
IEEE
13 years 11 months ago
2005
IEEE
This paper proposes a robust statistical framework to extract highlights from a baseball broadcast video. We applied multistream Hidden Markov Models (HMMs) to control the weights...