184 search results - page 25 / 37 » Hidden Markov models with set-valued parameters |
FLAIRS
2004
13 years 11 months ago
2004
Using unlabeled data to help supervised learning has become an increasingly attractive methodology and proven to be effective in many applications. This paper applies semi-supervi...
ICIP
2002
IEEE
14 years 11 months ago
2002
IEEE
This paper presents an efficient method to integrate various spatial-temporal constraints to regularize the contour tracking. The global shape of the contour is represented in a p...
JCB
2007
13 years 9 months ago
2007
Analysis of biopolymer sequences and structures generally adopts one of two approaches: use of detailed biophysical theoretical models of the system with experimentally-determined...
INTERSPEECH
2010
13 years 4 months ago
2010
In this paper we present a method to predict the movement of a speaker's mouth from text input using hidden Markov models (HMM). We have used a corpus of human articulatory m...
BMCBI
2005
13 years 9 months ago
2005
Background: Generalized hidden Markov models (GHMMs) appear to be approaching acceptance as a de facto standard for state-of-the-art ab initio gene finding, as evidenced by the re...