CVIU
2004
13 years 11 months ago
2004
We present the use of layered probabilistic representations for modeling human activities, and describe how we use the representation to do sensing, learning, and inference at mul...
JCSS
2007
13 years 11 months ago
2007
Hidden Markov models (HMMs) are often used for biological sequence annotation. Each sequence feature is represented by a collection of states with the same label. In annotating a ...
BMCBI
2005
13 years 11 months ago
2005
Background: Baum-Welch training is an expectation-maximisation algorithm for training the emission and transition probabilities of hidden Markov models in a fully automated way. I...
TCSV
2008
13 years 11 months ago
2008
Abstract--This work is dedicated to a statistical trajectorybased approach addressing two issues related to dynamic video content understanding: recognition of events and detection...
SOCO
2008
Springer
13 years 11 months ago
2008
Springer
Face recognition from an image or video sequences is emerging as an active research area with numerous commercial and law enforcement applications. In this paper different Pseudo 2...
NAR
2006
13 years 11 months ago
2006
HHrep is a web server for the de novo identification of repeats in protein sequences, which is based on the pairwise comparison of profile hidden Markov models (HMMs). Its main st...
NAR
2006
13 years 11 months ago
2006
HHsenser is the first server to offer exhaustive intermediate profile searches, which it combines with pairwise comparison of hidden Markov models. Starting from a single protein ...
MTA
2006
13 years 11 months ago
2006
This paper focuses on the integration of multimodal features for sport video structure analysis. The method relies on a statistical model which takes into account both the shot co...
PAMI
2008
13 years 11 months ago
2008
This paper proposes a method for detecting object classes that exhibit variable shape structure in heavily cluttered images. The term "variable shape structure" is used t...
ML
2006
ACM
13 years 11 months ago
2006
ACM
Abstract Trained musicians intuitively produce expressive variations that add to their audience's enjoyment. However, there is little quantitative information about the kinds ...