Sciweavers

1246 search results - page 4 / 250
» Activity Modeling Using Event Probability Sequences
Sort
View
BMCBI
2007
130views more  BMCBI 2007»
13 years 7 months ago
HMM-ModE - Improved classification using profile hidden Markov models by optimising the discrimination threshold and modifying e
Background: Profile Hidden Markov Models (HMM) are statistical representations of protein families derived from patterns of sequence conservation in multiple alignments and have b...
Prashant K. Srivastava, Dhwani K. Desai, Soumyadee...
ICPR
2006
IEEE
14 years 8 months ago
Activity Discovery from Surveillance Videos
Multi-agent interactions often result in mutual occlusion sequences which constitute a visual signature for the event. We define six qualitative occlusion primitives based on the ...
Amitabha Mukerjee, K. S. Venkatesh, Pabitra Mitra,...
PAKDD
2009
ACM
171views Data Mining» more  PAKDD 2009»
14 years 5 days ago
Detecting Abnormal Events via Hierarchical Dirichlet Processes
Abstract. Detecting abnormal event from video sequences is an important problem in computer vision and pattern recognition and a large number of algorithms have been devised to tac...
Xian-Xing Zhang, Hua Liu, Yang Gao, Derek Hao Hu
TOPNOC
2008
13 years 7 months ago
Translating Message Sequence Charts to other Process Languages Using Process Mining
Message Sequence Charts (MSCs) are a well known language for specifying scenarios that describe how different actors (e.g., system components, people, or organizations) interact. M...
Kristian Bisgaard Lassen, Boudewijn F. van Dongen
SBP
2010
Springer
14 years 2 months ago
Calibrating Subjective Probabilities Using Hierarchical Bayesian Models
Abstract. A body of psychological research has examined the correspondence between a judge’s subjective probability of an event’s outcome and the event’s actual outcome. The ...
Edgar C. Merkle