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» Application of Level Set Methods in Computer Vision
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ICPR
2002
IEEE
16 years 8 months ago
Perceptual Grouping for Multiple View Stereo Using Tensor Voting
* We address the problem of multiple view stereo from a perceptual organization perspective. Currently, the leading methods in the field are volumetric. They operate at the level o...
Gérard G. Medioni, Philippos Mordohai
IPL
2006
88views more  IPL 2006»
15 years 7 months ago
A note on the attractor-property of infinite-state Markov chains
In the past 5 years, a series of verification algorithms has been proposed for infinite Markov chains that have a finite attractor, i.e., a set that will be visited infinitely oft...
Christel Baier, Nathalie Bertrand, Ph. Schnoebelen
GECCO
2004
Springer
117views Optimization» more  GECCO 2004»
16 years 24 days ago
Alternative Bloat Control Methods
Abstract. Bloat control is an important aspect of evolutionary computation methods, such as genetic programming, which must deal with genomes of arbitrary size. We introduce three ...
Liviu Panait, Sean Luke
SIAMNUM
2011
110views more  SIAMNUM 2011»
15 years 2 months ago
A Posteriori Error Control for Discontinuous Galerkin Methods for Parabolic Problems
We derive energy-norm a posteriori error bounds for an Euler timestepping method combined with various spatial discontinuous Galerkin schemes for linear parabolic problems. For acc...
Emmanuil H. Georgoulis, Omar Lakkis, Juha M. Virta...
PKDD
2009
Springer
153views Data Mining» more  PKDD 2009»
16 years 1 months ago
Subspace Regularization: A New Semi-supervised Learning Method
Most existing semi-supervised learning methods are based on the smoothness assumption that data points in the same high density region should have the same label. This assumption, ...
Yan-Ming Zhang, Xinwen Hou, Shiming Xiang, Cheng-L...