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CONTEXT
2001
Springer
14 years 1 days ago
A Connectionist-Symbolic Approach to Modeling Agent Behavior: Neural Networks Grouped by Contexts
A recent report by the National Research Council (NRC) declares neural networks “hold the most promise for providing powerful learning models”. While some researchers have expe...
Amy E. Henninger, Avelino J. Gonzalez, Michael Geo...
ICWE
2007
Springer
14 years 1 months ago
Integrating Databases, Search Engines and Web Applications: A Model-Driven Approach
This paper addresses conceptual modeling and automatic code generation for search engine integration with data intensive Web applications. We have analyzed the similarities (and di...
Alessandro Bozzon, Tereza Iofciu, Wolfgang Nejdl, ...
ICPR
2002
IEEE
14 years 8 months ago
Tracking Hands and Objects for an Intelligent Video Production System
We propose a novel method for detecting hands and hand-held objects in desktop manipulation situations. In order to achieve robust tracking under few constraints, we use multiple ...
Motoyuki Ozeki, Masatsugu Itoh, Yuichi Nakamura, Y...
ECAI
2000
Springer
13 years 12 months ago
Similarity-based Approach to Relevance Learning
In several information retrieval (IR) systems there is a possibility for user feedback. Many machine learning methods have been proposed that learn from the feedback information in...
Rickard Cöster, Lars Asker
ICONIP
2007
13 years 9 months ago
Adaptive Spiking Neural Networks for Audiovisual Pattern Recognition
Abstract. The paper describes the integration of brain-inspired systems to perform audiovisual pattern recognition tasks. Individual sensory pathways as well as the integrative mod...
Simei Gomes Wysoski, Lubica Benuskova, Nikola Kasa...