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CVIU
2006
162views more  CVIU 2006»
13 years 7 months ago
Unsupervised scene analysis: A hidden Markov model approach
This paper presents a new approach to scene analysis, which aims at extracting structured information from a video sequence using directly low-level data. The method models the se...
Manuele Bicego, Marco Cristani, Vittorio Murino
ICML
2005
IEEE
14 years 8 months ago
Active learning for Hidden Markov Models: objective functions and algorithms
Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
Brigham Anderson, Andrew Moore
IJCAT
2010
132views more  IJCAT 2010»
13 years 6 months ago
Using weaving models to automate model-driven web engineering proposals
The impact of Model-Driven Software Development in Web Engineering has given raise to the advent of Model-Driven Web Engineering, a new approach for Web Information Systems develop...
Juan M. Vara, Valeria de Castro, Marcos Didonet De...
AVSS
2009
IEEE
13 years 11 months ago
Bayesian Bio-inspired Model for Learning Interactive Trajectories
—Automatic understanding of human behavior is an important and challenging objective in several surveillance applications. One of the main problems of this task consists in accur...
Alessio Dore, Carlo S. Regazzoni
AMR
2003
Springer
179views Multimedia» more  AMR 2003»
14 years 27 days ago
Building User Models from Observations of Users Accessing Multimedia Learning Objects
Abstract. We report our work towards building user models of learner’s development based upon evidence of their interactions with an e-learning website composed of multimedia lea...
Judy Kay, Andrew Lum