194 search results - page 23 / 39 » Subspace Regularization: A New Semi-supervised Learning Meth... |
109
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JMLR
2010
14 years 10 months ago
2010
We extend the well-known BFGS quasi-Newton method and its memory-limited variant LBFGS to the optimization of nonsmooth convex objectives. This is done in a rigorous fashion by ge...
101
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CVPR
2007
IEEE
16 years 1 months ago
2007
IEEE
Image patches are fundamental elements for object modeling and recognition. However, there has not been a panoramic study of the structures of the whole ensemble of natural image ...
ICML
2006
IEEE
16 years 15 days ago
2006
IEEE
We address the problem of learning a kernel for a given supervised learning task. Our approach consists in searching within the convex hull of a prescribed set of basic kernels fo...
ICML
2010
IEEE
15 years 23 days ago
2010
IEEE
We present a new algorithm for minimizing a convex loss-function subject to regularization. Our framework applies to numerous problems in machine learning and statistics; notably,...
ICASSP
2010
IEEE
14 years 9 months ago
2010
IEEE
A major limitation of Brain-Computer Interfaces (BCI) is their long calibration time, as much data from the user must be collected in order to tune the BCI for this target user. I...