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ICCV
2001
IEEE
16 years 8 months ago
Topology Free Hidden Markov Models: Application to Background Modeling
Hidden Markov Models (HMMs) are increasingly being used in computer vision for applications such as: gesture analysis, action recognition from video, and illumination modeling. Th...
Bjoern Stenger, Visvanathan Ramesh, Nikos Paragios...
ICML
2006
IEEE
16 years 6 months ago
Predictive linear-Gaussian models of controlled stochastic dynamical systems
We introduce the controlled predictive linearGaussian model (cPLG), a model that uses predictive state to model discrete-time dynamical systems with real-valued observations and v...
Matthew R. Rudary, Satinder P. Singh
ICML
2006
IEEE
16 years 6 months ago
Probabilistic inference for solving discrete and continuous state Markov Decision Processes
Inference in Markov Decision Processes has recently received interest as a means to infer goals of an observed action, policy recognition, and also as a tool to compute policies. ...
Marc Toussaint, Amos J. Storkey
IUI
2009
ACM
16 years 2 months ago
Using salience to segment desktop activity into projects
Knowledge workers must manage large numbers of simultaneous, ongoing projects that collectively involve huge numbers of resources (documents, emails, web pages, calendar items, et...
Daniel Lowd, Nicholas Kushmerick
INFOCOM
2009
IEEE
16 years 20 days ago
Analysis of Adaptive Incentive Protocols for P2P Networks
— Incentive protocols play a crucial role to encourage cooperation among nodes in networking applications. The aim of this paper is to provide a general analytical framework to a...
Ben Q. Zhao, John C. S. Lui, Dah-Ming Chiu