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» Variability Models Must Not be Invariant!
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JETAI
1998
110views more  JETAI 1998»
13 years 7 months ago
Independency relationships and learning algorithms for singly connected networks
Graphical structures such as Bayesian networks or Markov networks are very useful tools for representing irrelevance or independency relationships, and they may be used to e cientl...
Luis M. de Campos
FGR
2011
IEEE
227views Biometrics» more  FGR 2011»
12 years 11 months ago
Warp that smile on your face: Optimal and smooth deformations for face recognition
— In this work, we present novel warping algorithms for full 2D pixel-grid deformations for face recognition. Due to high variation in face appearance, face recognition is consid...
Tobias Gass, Leonid Pishchulin, Philippe Dreuw, He...
CAV
1999
Springer
119views Hardware» more  CAV 1999»
13 years 12 months ago
Exploiting Positive Equality in a Logic of Equality with Uninterpreted Functions
Abstract. In using the logic of equality with unininterpreted functions to verify hardware systems, specific characteristics of the formula describing the correctness condition ca...
Randal E. Bryant, Steven M. German, Miroslav N. Ve...
IJFCS
2006
110views more  IJFCS 2006»
13 years 7 months ago
Sat-based Model Checking for Region Automata
For successful software verification, model checkers must be capable of handling a large number of program variables. Traditional, BDD-based model checking is deficient in this re...
Fang Yu, Bow-Yaw Wang
CVPR
2010
IEEE
14 years 3 months ago
The chains model for detecting parts by their context
Detecting an object part relies on two sources of information - the appearance of the part itself, and the context supplied by surrounding parts. In this paper we consider problem...
Leonid Karlinsky, Michael Dinerstein, Daniel Harar...