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IJCNN
2006
IEEE
15 years 3 months ago
Learning using Dynamical Regime Identification and Synchronization
—This study proposes to generalize Hebbian learning by identifying and synchronizing the dynamical regimes of individual nodes in a recurrent network. The connection weights are ...
Nicolas Brodu
IJCAI
2003
14 years 11 months ago
Imitation Learning of Team-play in Multiagent System based on Hidden Markov Modeling
This paper addresses agents' intentions as building blocks of imitation learning that abstract local situations of the agent, and proposes a hierarchical hidden Markov model ...
Itsuki Noda
NPL
2006
82views more  NPL 2006»
14 years 9 months ago
How Online Learning Approaches Ornstein Uhlenbeck Processes
We show that under reasonable conditions, online learning for a nonlinear function near a local minimum is similar to a multivariate Ornstein Uhlenbeck process. This implies that ...
Fredrik A. Dahl
IJCV
2010
158views more  IJCV 2010»
14 years 8 months ago
Metric Learning for Image Alignment
Abstract Image alignment has been a long standing problem in computer vision. Parameterized Appearance Models (PAMs) such as the Lucas-Kanade method, Eigentracking, and Active Appe...
Minh Hoai Nguyen, Fernando De la Torre
CVPR
2007
IEEE
15 years 11 months ago
Learning GMRF Structures for Spatial Priors
The goal of this paper is to find sparse and representative spatial priors that can be applied to part-based object localization. Assuming a GMRF prior over part configurations, w...
Lie Gu, Eric P. Xing, Takeo Kanade