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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
JCP
2007
154views more  JCP 2007»
13 years 8 months ago
Partially Reconfigurable Vector Processor for Embedded Applications
—Embedded systems normally involve a combination of hardware and software resources designed to perform dedicated tasks. Such systems have widely crept into industrial control, a...
Muhammad Z. Hasan, Sotirios G. Ziavras
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
ICIP
1998
IEEE
14 years 10 months ago
Direct Computation of Differential Invariants of Image Contours from Shading
In this paper we present a framework combining differential geometry and scale-space to show that local geometric invariants of image contours such as tangent, curvature and deriv...
Liangyin Yu, Charles R. Dyer
ICPR
2008
IEEE
14 years 10 months ago
CDIKP: A highly-compact local feature descriptor
A new feature descriptor is presented for object and scene recognition. The new approach, called CDIKP, uniquely combines the scale-invariant feature detection with a robust proje...
Quan Wang, Suya You, Yun-Ta Tsai