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IWANN
2001
Springer
15 years 1 months ago
Using Contextual Information to Selectively Adjust Preprocessing Parameters
Abstract. It is generally accepted that some of the problems and ambiguities at the low level of processing can not be resolved without taking into account contextual expectations....
Predrag Neskovic, Leon N. Cooper
80
Voted
ISNN
2007
Springer
15 years 3 months ago
A Hierarchical Self-organizing Associative Memory for Machine Learning
This paper proposes novel hierarchical self-organizing associative memory architecture for machine learning. This memory architecture is characterized with sparse and local interco...
Janusz A. Starzyk, Haibo He, Yue Li
JMLR
2006
389views more  JMLR 2006»
14 years 9 months ago
A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis
This paper introduces a learning method for two-layer feedforward neural networks based on sensitivity analysis, which uses a linear training algorithm for each of the two layers....
Enrique Castillo, Bertha Guijarro-Berdiñas,...
TEI
2010
ACM
135views Hardware» more  TEI 2010»
15 years 4 months ago
Hands and fingers: a mobile platform for a person-centric network of computational objects
We describe a practical vision of ubiquitous computing with tangible interfaces, that orbits around an individual and is mediated by his or her personal consumer electronic device...
John Kestner, Henry Holtzman
ICANN
2010
Springer
14 years 10 months ago
A Bilinear Model for Consistent Topographic Representations
Visual recognition faces the difficult problem of recognizing objects despite the multitude of their appearances. Ample neuroscientific evidence shows that the cortex uses a topogr...
Urs Bergmann, Christoph von der Malsburg