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142
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NN
2000
Springer
152views Neural Networks» more  NN 2000»
15 years 3 months ago
A neural network theory of proportional analogy-making
A neural network model that can simulate the learning of some simple proportional analogies is presented. These analogies include, for example, (a) red-square:red-circle yellow-sq...
Nilendu G. Jani, Daniel S. Levine
90
Voted
IWANN
1997
Springer
15 years 7 months ago
Recognition Model with Extension Fields
A recognition model which defines a measure of shape similarity on the direct output of multiscale and multiorientation Gabor filters does not manifest qualitative aspects of huma...
Peter Kalocsai
111
Voted
NIPS
2003
15 years 5 months ago
Nonstationary Covariance Functions for Gaussian Process Regression
We introduce a class of nonstationary covariance functions for Gaussian process (GP) regression. Nonstationary covariance functions allow the model to adapt to functions whose smo...
Christopher J. Paciorek, Mark J. Schervish
139
Voted
IPPS
2010
IEEE
15 years 1 months ago
Acceleration of spiking neural networks in emerging multi-core and GPU architectures
Recently, there has been strong interest in large-scale simulations of biological spiking neural networks (SNN) to model the human brain mechanisms and capture its inference capabi...
Mohammad A. Bhuiyan, Vivek K. Pallipuram, Melissa ...
139
Voted
ICMCS
2000
IEEE
116views Multimedia» more  ICMCS 2000»
15 years 8 months ago
Non-linear Relevance Feedback: Improving the Performance of Content-Based Retrieval Systems
In this paper, a non-linear relevance feedback mechanism is proposed for increasing the performance and the reliability of content-based retrieval systems. In particular, the huma...
Nikolaos D. Doulamis, Anastasios D. Doulamis, Stef...