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» Learning Pedestrian Dynamics from the Real World
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MCS
2010
Springer
15 years 2 months ago
Incremental Learning of New Classes in Unbalanced Datasets: Learn + + .UDNC
We have previously described an incremental learning algorithm, Learn++ .NC, for learning from new datasets that may include new concept classes without accessing previously seen d...
Gregory Ditzler, Michael D. Muhlbaier, Robi Polika...
AAAI
1998
14 years 11 months ago
Emotion Model for Life-Like Agent and Its Evaluation
This paper proposes an emotion model for life-like agents with emotions and motivations. This model consists of reactive and deliberative mechanisms. The former generates low-leve...
Hirohide Ushida, Yuji Hirayama, Hiroshi Nakajima
ICTAI
2007
IEEE
15 years 4 months ago
Establishing Logical Rules from Empirical Data
We review a method of generating logical rules, or axioms, from empirical data. This method, using closed set properties of formal concept analysis, has been previously described ...
John L. Pfaltz
CVPR
2003
IEEE
15 years 11 months ago
Evaluation of Local Models of Dynamic Backgrounds
Background subtraction is the first step of many video surveillance applications. What is considered background varies by application, and may include regular, systematic, or comp...
Robert Pless, John Larson, Scott Siebers, Ben West...
AI
2011
Springer
14 years 4 months ago
Learning qualitative models from numerical data
Qualitative models are often a useful abstraction of the physical world. Learning qualitative models from numerical data sible way to obtain such an abstraction. We present a new ...
Jure Zabkar, Martin Mozina, Ivan Bratko, Janez Dem...