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» Complexity Parameters for First-Order Classes
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JMIV
2006
124views more  JMIV 2006»
14 years 11 months ago
Segmentation of a Vector Field: Dominant Parameter and Shape Optimization
Vector field segmentation methods usually belong to either of three classes: methods which segment regions homogeneous in direction and/or norm, methods which detect discontinuiti...
Tristan Roy, Eric Debreuve, Michel Barlaud, Gilles...
75
Voted
IJIT
2004
15 years 1 months ago
Learning of Class Membership Values by Ellipsoidal Decision Regions
A novel method of learning complex fuzzy decision regions in the n-dimensional feature space is proposed. Through the fuzzy decision regions, a given pattern's class membershi...
Leehter Yao, Chin-chin Lin
CVPR
2012
IEEE
13 years 2 months ago
Complex loss optimization via dual decomposition
We describe a novel max-margin parameter learning approach for structured prediction problems under certain non-decomposable performance measures. Structured prediction is a commo...
Mani Ranjbar, Arash Vahdat, Greg Mori
103
Voted
COCO
2003
Springer
114views Algorithms» more  COCO 2003»
15 years 4 months ago
Bounded Nondeterminism and Alternation in Parameterized Complexity Theory
We give machine characterisations and logical descriptions of a number of parameterized complexity classes. The focus of our attention is the class W[P], which we characterise as ...
Yijia Chen, Jörg Flum, Martin Grohe
109
Voted
FASE
2006
Springer
15 years 3 months ago
Regular Inference for State Machines with Parameters
Techniques for inferring a regular language, in the form of a finite automaton, from a sufficiently large sample of accepted and nonaccepted input words, have been employed to cons...
Therese Berg, Bengt Jonsson, Harald Raffelt