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» Computational methods for Generalized Sturmians basis
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ICCV
2007
IEEE
16 years 1 months ago
Boosting Invariance and Efficiency in Supervised Learning
In this paper we present a novel boosting algorithm for supervised learning that incorporates invariance to data transformations and has high generalization capabilities. While on...
Andrea Vedaldi, Paolo Favaro, Enrico Grisan
VIS
2003
IEEE
121views Visualization» more  VIS 2003»
16 years 1 months ago
Hierarchical Clustering for Unstructured Volumetric Scalar Fields
We present a method to represent unstructured scalar fields at multiple levels of detail. Using a parallelizable classification algorithm to build a cluster hierarchy, we generate...
Christopher S. Co, Bjørn Heckel, Hans Hagen...
GECCO
2005
Springer
127views Optimization» more  GECCO 2005»
15 years 5 months ago
Evolutionary form-finding of tensegrity structures
Tensegrity structures are stable 3-dimensional mechanical structures which maintain their form due to an intricate balance of forces between disjoint rigid elements and continuous...
Chandana Paul, Hod Lipson, Francisco J. Valero Cue...
ICCV
2009
IEEE
16 years 4 months ago
3D reconstruction from image collections with a single known focal length
In this paper we aim at reconstructing 3D scenes from images with unknown focal lengths downloaded from photosharing websites such as Flickr. First we provide a minimal solution...
Martin Bujnak, Zuzana Kukelova, Tomas Pajdla
DAC
2005
ACM
16 years 26 days ago
ICCAP: a linear time sparse transformation and reordering algorithm for 3D BEM capacitance extraction
This paper presents an efficient hierarchical 3D capacitance extraction algorithm -- ICCAP. Most previous capacitance extraction algorithms introduce intermediate variables to fac...
Rong Jiang, Yi-Hao Chang, Charlie Chung-Ping Chen