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PAMI
2007
155views more  PAMI 2007»
13 years 7 months ago
Localization of Shapes Using Statistical Models and Stochastic Optimization
—In this paper, we present a new model for deformations of shapes. A pseudolikelihood is based on the statistical distribution of the gradient vector field of the gray level. The...
François Destrempes, Max Mignotte, Jean-Fra...
CGF
2005
252views more  CGF 2005»
13 years 7 months ago
Support Vector Machines for 3D Shape Processing
We propose statistical learning methods for approximating implicit surfaces and computing dense 3D deformation fields. Our approach is based on Support Vector (SV) Machines, which...
Florian Steinke, Bernhard Schölkopf, Volker B...
ICNP
2005
IEEE
14 years 1 months ago
Shape Shifting Tries for Faster IP Route Lookup
Some of the fastest practical algorithms for IP route lookup are based on space-efficient encodings of multi-bit tries [1, 2]. Unfortunately, the time required by these algorithm...
Haoyu Song, Jonathan S. Turner, John W. Lockwood
JCB
2008
108views more  JCB 2008»
13 years 7 months ago
Asymptotics of RNA Shapes
Abstract. RNA shapes, introduced by Giegerich et al. (17), provide a useful classification of the branching complexity for RNA secondary structures. In this paper, we derive an exa...
W. A. Lorenz, Yann Ponty, Peter Clote
ICHIM
2001
87views more  ICHIM 2001»
13 years 9 months ago
Digital Preservation of Cultural Heritage through Constructive Modeling
The issues of digital preservation of shapes and internal structures of historical and cultural objects are discussed. An overview of existing approaches to computer modeling of s...
Carl Vilbrandt, Alexander A. Pasko, Galina Pasko, ...