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ICPR
2006
IEEE
14 years 9 months ago
Hidden Markov Models for Optical Flow Analysis in Crowds
This paper presents an event detector for emergencies in crowds. Assuming a single camera and a dense crowd we rely on optical flow instead of tracking statistics as a feature to ...
Ernesto L. Andrade, Scott Blunsden, Robert B. Fish...
EPEW
2005
Springer
14 years 1 months ago
Performance Tuning of Failure Detectors in Wireless Ad-hoc Networks: Modelling and Experiments
Abstract. We consider wireless ad-hoc networks and implement failure detections mechanisms. These failure detectors provide elementary information for high level distributed algori...
Corine Marchand, Jean-Marc Vincent
MLCW
2005
Springer
14 years 1 months ago
A Lexical Alignment Model for Probabilistic Textual Entailment
This paper describes the Bar-Ilan system participating in the Recognising Textual Entailment Challenge. The paper proposes first a general probabilistic setting that formalizes th...
Oren Glickman, Ido Dagan, Moshe Koppel
ECCV
2010
Springer
14 years 1 months ago
Learning What and How of Contextual Models for Scene Labeling
We present a data-driven approach to predict the importance of edges and construct a Markov network for image analysis based on statistical models of global and local image feature...
CDC
2009
IEEE
140views Control Systems» more  CDC 2009»
14 years 1 months ago
Model reduction, optimal prediction, and the Mori-Zwanzig representation of Markov chains
— Model reduction methods from diverse fields— including control, statistical mechanics and economics—aimed at systems that can be represented by Markov chains, are discusse...
Carolyn L. Beck, Sanjay Lall, Tzuchen Liang, Matth...