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ICML
2006
IEEE
16 years 1 months ago
Nightmare at test time: robust learning by feature deletion
When constructing a classifier from labeled data, it is important not to assign too much weight to any single input feature, in order to increase the robustness of the classifier....
Amir Globerson, Sam T. Roweis
135
Voted
ADS
2004
Springer
15 years 4 months ago
Neural Architecture for Temporal Emotion Classification
Abstract. In this pilot study, a neural architecture for temporal emotion recognition from image sequences is proposed. The investigation aims at the development of key principles ...
Roland Schweiger, Pierre Bayerl, Heiko Neumann
SPIEVIP
2010
15 years 2 months ago
Automatic scene activity modeling for improving object classification
In video surveillance, automatic methods for scene understanding and activity modeling can exploit the high redundancy of object trajectories observed over a long period of time. ...
Samuel Foucher, Marc Lalonde, Langis Gagnon
98
Voted
ECAL
2005
Springer
15 years 2 months ago
Valency for Adaptive Homeostatic Agents: Relating Evolution and Learning
This paper introduces a novel study on the sense of valency as a vital process for achieving adaptation in agents through evolution and developmental learning. Unlike previous stud...
Theodoros Damoulas, Ignasi Cos-Aguilera, Gillian M...
104
Voted
GI
2009
Springer
14 years 10 months ago
Test your Strategy - Intuitive Strategy Definition and Evaluation for Novices and Experts
: ConnectIT uses a graphical representation to express strategies for playing the connect-four game. With this tool we can transfer complex knowledge about the connect-four game it...
Sven Jörges, Marco Bakera, Tiziana Margaria, ...