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TNN
2011
137views more  TNN 2011»
14 years 4 months ago
Learning Pattern Recognition Through Quasi-Synchronization of Phase Oscillators
—The idea that synchronized oscillations are important in cognitive tasks is receiving significant attention. In this view, single neurons are no longer elementary computational...
Ekaterina Vassilieva, Guillaume Pinto, J. Acacio d...
IJCNN
2006
IEEE
15 years 4 months ago
Reinforcement Learning for Platform-Independent Visual Robot Control
—This paper proposes a new architecture for robot control. A test scenario is outlined to test the proposed system and enable a comparison with an existing system, which is able ...
David Muse, Kevin Burn, Stefan Wermter
HICSS
2003
IEEE
138views Biometrics» more  HICSS 2003»
15 years 3 months ago
The BASP Agent-Based Modeling Framework: Applications, Scenarios and Lessons Learned
The Behavior Action Simulation Platform (BASP) has been in existence since early 2000, when it was first applied to small-team reconnaissance scenarios for the United States Marin...
David S. Dixon, William N. Reynolds
ICANN
2005
Springer
15 years 3 months ago
The Topographic Product of Experts
- In this paper, we show how a topographic mapping can be created from a product of experts. We learn the parameters of the mapping using gradient descent on the negative logarithm...
Colin Fyfe
SDM
2007
SIAM
133views Data Mining» more  SDM 2007»
14 years 11 months ago
Change-Point Detection using Krylov Subspace Learning
We propose an efficient algorithm for principal component analysis (PCA) that is applicable when only the inner product with a given vector is needed. We show that Krylov subspace...
Tsuyoshi Idé, Koji Tsuda