184 search results - page 20 / 37 » Hidden Markov models with set-valued parameters |
AR
2011
13 years 4 months ago
2011
This paper presents a novel method for learning object manipulation such as rotating an object or placing one object on another. In this method, motions are learned using referenc...
ICASSP
2009
IEEE
14 years 4 months ago
2009
IEEE
This paper presents a novel method for training hidden Markov models (HMMs) for use in HMM-based speech synthesis. The primary goal of HMM parameter optimization is to ensure that...
ICIP
2004
IEEE
14 years 11 months ago
2004
IEEE
The work presents the first effort to automatically annotate the semantic meanings of temporal video patterns obtained through unsupervised discovery processes. This problem is in...
CVIU
2006
13 years 9 months ago
2006
We present algorithms for recognizing human motion in monocular video sequences, based on discriminative Conditional Random Field (CRF) and Maximum Entropy Markov Models (MEMM). E...
ECAI
2004
Springer
14 years 3 months ago
2004
Springer
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...