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» Learning Behavior Models for Hybrid Timed Systems
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AVSS
2009
IEEE
15 years 4 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
111
Voted
CDC
2010
IEEE
141views Control Systems» more  CDC 2010»
14 years 7 months ago
Hybrid moment computation algorithm for biochemical reaction networks
Moment computation is essential to the analysis of stochastic kinetic models of biochemical reaction networks. It is often the case that the moment evolution, usually the first and...
Yun-Bo Zhao, Jongrae Kim, João Pedro Hespan...
NLPRS
2001
Springer
15 years 5 months ago
Named Entity Recognition using Machine Learning Methods and Pattern-Selection Rules
Named Entity recognition, as a task of providing important semantic information, is a critical first step in Information Extraction and QuestionAnswering system. This paper propos...
Choong-Nyoung Seon, Youngjoong Ko, Jeong-Seok Kim,...
106
Voted
WWW
2002
ACM
16 years 1 months ago
Multimedia meets computer graphics in SMIL2.0: a time model for the web
Multimedia scheduling models provide a rich variety of tools for managing the synchronization of media like video and audio, but generally have an inflexible model for time itself...
Patrick Schmitz
117
Voted
AAAI
1997
15 years 2 months ago
The "Inverse Hollywood Problem": From Video to Scripts and Storyboards via Causal Analysis
We address the problem of visually detecting causal events and tting them together into a coherent story of the action witnessed by the camera. We show that this can be done by re...
Matthew Brand