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CVPR
2012
IEEE
13 years 2 months ago
Batch mode Adaptive Multiple Instance Learning for computer vision tasks
Multiple Instance Learning (MIL) has been widely exploited in many computer vision tasks, such as image retrieval, object tracking and so on. To handle ambiguity of instance label...
Wen Li, Lixin Duan, Ivor Wai-Hung Tsang, Dong Xu
126
Voted
MUC
1992
15 years 4 months ago
GE NLToolset: description of the system as used for MUC-4
The GE NLTooLsET is a set of text interpretation tools designed to be easily adapted to new domains. This report summarizes the system and its performance on the MUG-4 task . INTR...
George B. Krupka, Paul S. Jacobs, Lisa F. Rau, Loi...
112
Voted
AUSAI
2009
Springer
15 years 4 months ago
Classification of EEG for Affect Recognition: An Adaptive Approach
Research on affective computing is growing rapidly and new applications are being developed more frequently. They use information about the affective/mental states of users to adap...
Omar AlZoubi, Rafael A. Calvo, Ronald H. Stevens
132
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AAAI
2008
15 years 2 months ago
On-Line Case-Based Plan Adaptation for Real-Time Strategy Games
Traditional artificial intelligence techniques do not perform well in applications such as real-time strategy games because of the extensive search spaces which need to be explore...
Neha Sugandh, Santiago Ontañón, Ashw...
DFKI
2005
Springer
15 years 2 months ago
Multiagent Systems Without Agents - Mirror-Holons for the Compilation and Enactment of Communication Structures
It is widely accepted in Distributed Artificial Intelligence that a crucial property of artificial agents is their autonomy. Whereas agent autonomy enables features of agent-base...
Matthias Nickles, Gerhard Weiß