178 search results - page 29 / 36 » Extensions of Manifold Learning Algorithms in Kernel Feature... |
JMLR
2011
14 years 4 months ago
2011
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
COLT
2005
Springer
15 years 3 months ago
2005
Springer
We discuss a simple sparse linear problem that is hard to learn with any algorithm that uses a linear combination of the training instances as its weight vector. The hardness holds...
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SIGIR
2012
ACM
13 years 13 hour ago
2012
ACM
Similarity search is a key challenge for multimedia retrieval applications where data are usually represented in high-dimensional space. Among various algorithms proposed for simi...
CVPR
2004
IEEE
15 years 11 months ago
2004
IEEE
Classifying high-dimensional numerical data is a very challenging problem. In high dimensional feature spaces, the performance of supervised learning methods suffer from the curse...
TIP
2008
14 years 9 months ago
2008
We consider the problem of recognizing 3-D objects from 2-D images using geometric models and assuming different viewing angles and positions. Our goal is to recognize and localize...