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» Using Gaussian Processes to Optimize Expensive Functions
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DGCI
2008
Springer
13 years 8 months ago
Optimal Difference Operator Selection
Abstract. Differential operators are essential in many image processing applications. Previous work has shown how to compute derivatives more accurately by examining the image loca...
Peter Veelaert, Kristof Teelen
NN
2000
Springer
161views Neural Networks» more  NN 2000»
13 years 7 months ago
How good are support vector machines?
Support vector (SV) machines are useful tools to classify populations characterized by abrupt decreases in density functions. At least for one class of Gaussian data model the SV ...
Sarunas Raudys
PTS
2010
132views Hardware» more  PTS 2010»
13 years 6 months ago
Increasing Functional Coverage by Inductive Testing: A Case Study
This paper addresses the challenge of generating test sets that achieve functional coverage, in the absence of a complete specification. The inductive testing technique works by p...
Neil Walkinshaw, Kirill Bogdanov, John Derrick, Ja...
3DIM
2011
IEEE
12 years 7 months ago
Automatic Keypoint Detection on 3D Faces Using a Dictionary of Local Shapes
—Keypoints on 3D surfaces are points that can be extracted repeatably over a wide range of 3D imaging conditions. They are used in many 3D shape processing applications; for exam...
Clement Creusot, Nick Pears, Jim Austin
TOOLS
1999
IEEE
13 years 12 months ago
Optimizing Object-Oriented Collection Join Queries through Path Traversals
Path traversals have been recognized as one of the strengths of object-oriented query processing as object retrieval can be carried out through pointer navigation. Apart from path...
David Taniar