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ICCV
2011
IEEE
12 years 9 months ago
Probabilistic Group-Level Motion Analysis and Scenario Recognition
This paper addresses the challenge of recognizing behavior of groups of individuals in unconstraint surveillance environments. As opposed to approaches that rely on agglomerative ...
Ming-Ching Chang, Nils Krahnstoever, Weina Ge
PROMISE
2010
13 years 4 months ago
On the value of learning from defect dense components for software defect prediction
BACKGROUND: Defect predictors learned from static code measures can isolate code modules with a higher than usual probability of defects. AIMS: To improve those learners by focusi...
Hongyu Zhang, Adam Nelson, Tim Menzies
CMOT
1999
105views more  CMOT 1999»
13 years 9 months ago
Friendship Networks Through Time: An Actor-Oriented Dynamic Statistical Network Model
We propose a class of actor-oriented statistical models for closed social networks in general, and friendship networks in particular. The models are random utility models develope...
Gerhard G. Van De Bunt, Marijtje A. J. Van Duijn, ...
AINA
2007
IEEE
14 years 4 months ago
OWL-Based Context-Dependent Task Modeling and Deducing
In the near future, homes are envisioned to be equipped with numerous intelligent communicating devices. Such smart home needs to exhibit highly adaptive behavior to meet the inha...
Hongbo Ni, Xingshe Zhou, Zhiwen Yu, Kejian Miao
IADIS
2004
13 years 11 months ago
Inca: An Intelligent Cognitive Agent-Based Framework for Adaptive and Interactive Learning
This paper presents the design principles, development and implementation of an e-learning framework, called Intelligent Cognitive Agents (InCA). The InCA framework is an ontology...
Liana Razmerita, Thierry Nabeth, Albert A. Angehrn...