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» Scale-Time Kernels and Models
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UAI
2000
13 years 10 months ago
Variational Relevance Vector Machines
The Support Vector Machine (SVM) of Vapnik [9] has become widely established as one of the leading approaches to pattern recognition and machine learning. It expresses predictions...
Christopher M. Bishop, Michael E. Tipping
PAMI
2006
358views more  PAMI 2006»
13 years 8 months ago
Recovering 3D Human Pose from Monocular Images
We describe a learning based method for recovering 3D human body pose from single images and monocular image sequences. Our approach requires neither an explicit body model nor pri...
Ankur Agarwal, Bill Triggs
PAMI
1998
116views more  PAMI 1998»
13 years 8 months ago
Scale-Space Derived From B-Splines
—It is well-known that the linear scale-space theory in computer vision is mainly based on the Gaussian kernel. The purpose of the paper is to propose a scale-space theory based ...
Yu-Ping Wang, Seng Luan Lee
ESEM
2010
ACM
13 years 7 months ago
Strengthening the empirical analysis of the relationship between Linus' Law and software security
Open source software is often considered to be secure because large developer communities can be leveraged to find and fix security vulnerabilities. Eric Raymond states Linus’ L...
Andrew Meneely, Laurie A. Williams
IPPS
2010
IEEE
13 years 6 months ago
Inter-block GPU communication via fast barrier synchronization
The graphics processing unit (GPU) has evolved from a fixedfunction processor with programmable stages to a programmable processor with many fixed-function components that deliver...
Shucai Xiao, Wu-chun Feng