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NIPS
2004
15 years 8 months ago
The Laplacian PDF Distance: A Cost Function for Clustering in a Kernel Feature Space
A new distance measure between probability density functions (pdfs) is introduced, which we refer to as the Laplacian pdf distance. The Laplacian pdf distance exhibits a remarkabl...
Robert Jenssen, Deniz Erdogmus, José Carlos...
PAA
2010
15 years 5 months ago
A simple iterative algorithm for parsimonious binary kernel Fisher discrimination
By applying recent results in optimization theory variously known as optimization transfer or majorize/minimize algorithms, an algorithm for binary, kernel, Fisher discriminant ana...
Robert F. Harrison, Kitsuchart Pasupa
CVPR
2012
IEEE
13 years 9 months ago
Pose pooling kernels for sub-category recognition
The ability to normalize pose based on super-category landmarks can significantly improve models of individual categories when training data are limited. Previous methods have co...
Ning Zhang, Ryan Farrell, Trevor Darrell
COLT
1999
Springer
15 years 11 months ago
On a Generalized Notion of Mistake Bounds
This paper proposes the use of constructive ordinals as mistake bounds in the on-line learning model. This approach elegantly generalizes the applicability of the on-line mistake ...
Sanjay Jain, Arun Sharma
CF
2008
ACM
15 years 9 months ago
Exact multi-pattern string matching on the cell/b.e. processor
String searching is the computationally intensive kernel of many security and network applications like search engines, intrusion detection systems, virus scanners and spam filter...
Daniele Paolo Scarpazza, Oreste Villa, Fabrizio Pe...