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» Situation Recognition: Representation and Algorithms
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ATAL
2010
Springer
15 years 14 days ago
Learning multi-agent state space representations
This paper describes an algorithm, called CQ-learning, which learns to adapt the state representation for multi-agent systems in order to coordinate with other agents. We propose ...
Yann-Michaël De Hauwere, Peter Vrancx, Ann No...
ICPR
2004
IEEE
16 years 14 days ago
Velocity Adaptation of Space-Time Interest Points
The notion of local features in space-time has recently been proposed to capture and describe local events in video. When computing space-time descriptors, however, the result may...
Ivan Laptev, Tony Lindeberg
NN
2008
Springer
201views Neural Networks» more  NN 2008»
14 years 11 months ago
Learning representations for object classification using multi-stage optimal component analysis
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
Yiming Wu, Xiuwen Liu, Washington Mio
AMFG
2007
IEEE
315views Biometrics» more  AMFG 2007»
15 years 5 months ago
Structured Ordinal Features for Appearance-Based Object Representation
In this paper, we propose a novel appearance-based representation, called Structured Ordinal Feature (SOF). SOF is a binary string encoded by combining eight ordinal blocks in a ci...
ShengCai Liao, Zhen Lei, Stan Z. Li, Xiaotong Yuan...
GBRPR
2009
Springer
15 years 6 months ago
On Computing Canonical Subsets of Graph-Based Behavioral Representations
The collection of behavior protocols is a common practice in human factors research, but the analysis of these large data sets has always been a tedious and time-consuming process....
Walter C. Mankowski, Peter Bogunovich, Ali Shokouf...