184 search results - page 31 / 37 » Hidden Markov models with set-valued parameters |
INTERSPEECH
2010
13 years 4 months ago
2010
In this paper, we propose a novel boosted mixture learning (BML) framework for Gaussian mixture HMMs in speech recognition. BML is an incremental method to learn mixture models fo...
CVPR
2010
IEEE
14 years 6 months ago
2010
IEEE
We present two novel methods to automatically learn spatio-temporal dependencies of moving agents in complex dynamic scenes. They allow to discover temporal rules, such as the rig...
ICML
2010
IEEE
13 years 7 months ago
2010
IEEE
POMDPs are the models of choice for reinforcement learning (RL) tasks where the environment cannot be observed directly. In many applications we need to learn the POMDP structure ...
ICMCS
2006
IEEE
14 years 3 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...
JCB
2006
13 years 9 months ago
2006
We propose a dictionary model for haplotypes. According to the model, a haplotype is constructed by randomly concatenating haplotype segments from a given dictionary of segments. ...