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» Tracking Large Variable Numbers of Objects in Clutter
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ICRA
2009
IEEE
165views Robotics» more  ICRA 2009»
14 years 2 months ago
Robust servo-control for underwater robots using banks of visual filters
—We present an application of machine learning to the semi-automatic synthesis of robust servo-trackers for underwater robotics. In particular, we investigate an approach based o...
Junaed Sattar, Gregory Dudek
GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
14 years 1 months ago
Evolutionary testing of state-based programs
The application of Evolutionary Algorithms to structural test data generation, known as Evolutionary Testing, has to date largely focused on programs with input-output behavior. H...
Phil McMinn, Mike Holcombe
CVPR
2009
IEEE
14 years 2 months ago
Automatic facial landmark labeling with minimal supervision
Landmark labeling of training images is essential for many learning tasks in computer vision, such as object detection, tracking, and alignment. Image labeling is typically conduc...
Yan Tong, Xiaoming Liu 0002, Frederick W. Wheeler,...
ISIPTA
1999
IEEE
103views Mathematics» more  ISIPTA 1999»
14 years 40 min ago
A Review of Propagation Algorithms for Imprecise Probabilities
This paper reviews algorithms for local computation with imprecise probabilities. These algorithms try to solve problems of inference calculation of conditional or unconditional p...
Andrés Cano, Serafín Moral
CP
2000
Springer
13 years 11 months ago
Algebraic Simplification Techniques for Propositional Satisfiability
The ability to reduce either the number of variables or clauses in instances of the Satisfiability problem (SAT) impacts the expected computational effort of solving a given instan...
João P. Marques Silva