886 search results - page 10 / 178 » Learning Distance Functions using Equivalence Relations |
KDD
2005
ACM
14 years 10 months ago
2005
ACM
Several authors have suggested viewing boosting as a gradient descent search for a good fit in function space. At each iteration observations are re-weighted using the gradient of...
ICPR
2010
IEEE
14 years 4 months ago
2010
IEEE
This paper introduces a semi-supervised distance metric learning algorithm which uses pair-wise equivalence (similarity and dissimilarity) constraints to improve the original dist...
NIPS
1994
13 years 11 months ago
1994
The spatial distribution and time course of electrical signals in neurons have important theoretical and practical consequences. Because it is difficult to infer how neuronal form...
KDD
2005
ACM
14 years 10 months ago
2005
ACM
Tasks of data mining and information retrieval depend on a good distance function for measuring similarity between data instances. The most effective distance function must be for...
CVPR
2009
IEEE
15 years 4 months ago
2009
IEEE
In this paper, we propose a novel approach for learning generic visual vocabulary. We use diffusion maps to au-tomatically learn a semantic visual vocabulary from ab-undant quantiz...