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TSP
2008
115views more  TSP 2008»
13 years 9 months ago
A Bayesian Approach to Adaptive Detection in Nonhomogeneous Environments
Abstract--We consider the adaptive detection of a signal of interest embedded in colored noise, when the environment is nonhomogeneous, i.e., when the training samples used for ada...
Stéphanie Bidon, Olivier Besson, Jean-Yves ...
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
14 years 20 days ago
Improving evolutionary real-time testing
Embedded systems are often used in a safety-critical context, e.g. in airborne or vehicle systems. Typically, timing constraints must be satisfied so that real-time embedded syste...
Marouane Tlili, Stefan Wappler, Harmen Sthamer
SCIA
2007
Springer
14 years 3 months ago
Pseudo-real Image Sequence Generator for Optical Flow Computations
Abstract. The availability of ground-truth flow field is crucial for quantitative evaluation of any optical flow computation method. The fidelity of test data is also important...
Vladimír Ulman, Jan Hubený
WSCG
2003
193views more  WSCG 2003»
13 years 10 months ago
Automatically Generating Roof Models from Building Footprints
Modelling Large Urban Environments using traditional modelling techniques would prove too time consuming a process. Consequently a method is required for generating large urban en...
R. G. Laycock, A. M. Day
JAIR
2006
113views more  JAIR 2006»
13 years 9 months ago
Generative Prior Knowledge for Discriminative Classification
We present a novel framework for integrating prior knowledge into discriminative classifiers. Our framework allows discriminative classifiers such as Support Vector Machines (SVMs...
Arkady Epshteyn, Gerald DeJong