508 search results - page 39 / 102 » Near-Optimal Regularization Parameters for Applications in C... |
ECCV
2008
Springer
16 years 1 months ago
2008
Springer
Many methods for 3D reconstruction in computer vision rely on probability models, for example, Bayesian reasoning. Here we introduce a probability model of surface visibilities in ...
ICPR
2008
IEEE
15 years 6 months ago
2008
IEEE
Support Vector Machines (SVMs), though accurate, are still difficult to solve large-scale applications, due to the computational and storage requirement. To relieve this problem,...
100
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ICPR
2000
IEEE
15 years 3 months ago
2000
IEEE
Applied statistics are widely used in pattern recognition and other computing applications tofind the most likely value of a parameter. The use of classical empirical statistics i...
111
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CVPR
2003
IEEE
16 years 1 months ago
2003
IEEE
We consider the problem of learning with instances defined over a space of sets of vectors. We derive a new positive definite kernel f(A B) defined over pairs of matrices A B base...
CVPR
2004
IEEE
16 years 1 months ago
2004
IEEE
A new technique is presented for mosaicing sparselyoverlapping image sets, with a target application of assisting the diagnosis and treatment of retinal diseases. The geometric im...