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» Learning Mixtures of Gaussians
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ICCV
2003
IEEE
15 years 11 months ago
Active Concept Learning for Image Retrieval in Dynamic Databases
Concept learning in content-based image retrieval (CBIR) systems is a challenging task. This paper presents an active concept learning approach based on mixture model to deal with...
Anlei Dong, Bir Bhanu
NIPS
2004
15 years 7 months ago
Semi-supervised Learning by Entropy Minimization
We consider the semi-supervised learning problem, where a decision rule is to be learned from labeled and unlabeled data. In this framework, we motivate minimum entropy regulariza...
Yves Grandvalet, Yoshua Bengio
NN
2006
Springer
128views Neural Networks» more  NN 2006»
15 years 6 months ago
Topographic map formation of factorized Edgeworth-expanded kernels
We introduce a new learning algorithm for topographic map formation of Edgeworth-expanded Gaussian activation kernels. In order to avoid the rapid increase in kernel parameters, a...
Marc M. Van Hulle
AGILEDC
2005
IEEE
16 years 3 days ago
Experiences Teaching a Course in Programmer Testing
We teach a class on programmer-testing with a primary focus on test-driven development (TDD) as part of the software engineering curriculum at the Florida Institute of Technology....
Andy Tinkham, Cem Kaner
ICANN
2005
Springer
15 years 12 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