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» A New Bayesian Method for Range Image Segmentation
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ICCV
1995
IEEE
15 years 3 months ago
Algorithms for Implicit Deformable Models
This paper presents a framework for implicit deformable models and a pair of new algorithms for solving the nonlinear partial di erential equations that result from this framework...
Ross T. Whitaker
SIGMOD
2002
ACM
219views Database» more  SIGMOD 2002»
15 years 11 months ago
Efficient k-NN search on vertically decomposed data
Applications like multimedia retrieval require efficient support for similarity search on large data collections. Yet, nearest neighbor search is a difficult problem in high dimen...
Arjen P. de Vries, Nikos Mamoulis, Niels Nes, Mart...
CORR
2010
Springer
167views Education» more  CORR 2010»
14 years 11 months ago
Network Flow Algorithms for Structured Sparsity
We consider a class of learning problems that involve a structured sparsityinducing norm defined as the sum of -norms over groups of variables. Whereas a lot of effort has been pu...
Julien Mairal, Rodolphe Jenatton, Guillaume Obozin...
NN
2008
Springer
150views Neural Networks» more  NN 2008»
14 years 11 months ago
Neural network based pattern matching and spike detection tools and services - in the CARMEN neuroinformatics project
In the study of information flow in the nervous system, component processes can be investigated using a range of electrophysiological and imaging techniques. Although data is diff...
Martyn Fletcher, Bojian Liang, Leslie Smith, Alast...
CVPR
2007
IEEE
16 years 1 months ago
A Surface-Growing Approach to Multi-View Stereo Reconstruction
We present a new approach to reconstruct the shape of a 3D object or scene from a set of calibrated images. The central idea of our method is to combine the topological flexibilit...
Martin Habbecke, Leif Kobbelt