16 search results - page 1 / 4 » Efficient Kernel Machines Using the Improved Fast Gauss Tran... |
NIPS
2004
13 years 6 months ago
2004
The computation and memory required for kernel machines with N training samples is at least O(N2 ). Such a complexity is significant even for moderate size problems and is prohibi...
ICCV
2003
IEEE
14 years 6 months ago
2003
IEEE
Evaluating sums of multivariate Gaussians is a common computational task in computer vision and pattern recognition, including in the general and powerful kernel density estimatio...
ICCV
2009
IEEE
14 years 9 months ago
2009
IEEE
Many machine learning algorithms require the summation of Gaussian kernel
functions, an expensive operation if implemented straightforwardly. Several methods
have been proposed t...
NIPS
2008
13 years 6 months ago
2008
Many machine learning algorithms require the summation of Gaussian kernel functions, an expensive operation if implemented straightforwardly. Several methods have been proposed to...
BMVC
2010
13 years 2 months ago
2010
Kernel methods yield state-of-the-art performance in certain applications such as image classification and object detection. However, large scale problems require machine learning...