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ESANN
2003
13 years 9 months ago
Cellular topographic self-organization under correlational learning
We consider two layered binary state neural networks in which cellular topographic self-organization occurs under correlational learning. The main result is that for separable inpu...
Shouji Sakamoto, Shigeko Seki, Youichi Kobuchi

Book
534views
15 years 5 months ago
Neural Networks - A Systematic Introduction
This book covers the following topics: The biological paradigm, Threshold logic, Weighted Networks, The Perceptron, Perceptron learning, Unsupervised learning and clustering algori...
Raul Rojas
SAC
2006
ACM
14 years 1 months ago
Discretization from data streams: applications to histograms and data mining
Abstract. In this paper we propose a new method to perform incremental discretization. The basic idea is to perform the task in two layers. The first layer receives the sequence o...
João Gama, Carlos Pinto
SCVMA
2004
Springer
14 years 26 days ago
A Generative Model of Dense Optical Flow in Layers
We introduce a generative model of dense flow fields within a layered representation of 3-dimensional scenes. Using probabilistic inference and learning techniques (namely, varia...
Anitha Kannan, Brendan J. Frey, Nebojsa Jojic
AR
2004
84views more  AR 2004»
13 years 7 months ago
Reinforcement learning of humanoid rhythmic walking parameters based on visual information
This paper presents a method for learning the parameters of rhythmic walking to generate purposive humanoid motions. The controller consists of the two layers: rhythmic walking is...
Masaki Ogino, Yutaka Katoh, Masahiro Aono, Minoru ...