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GRAPHICSINTERFACE
2009
14 years 11 months ago
Fast low-memory streaming MLS reconstruction of point-sampled surfaces
We present a simple and efficient method for reconstructing triangulated surfaces from massive oriented point sample datasets. The method combines streaming and parallelization, m...
Gianmauro Cuccuru, Enrico Gobbetti, Fabio Marton, ...
CORR
2011
Springer
261views Education» more  CORR 2011»
14 years 8 months ago
Convex and Network Flow Optimization for Structured Sparsity
We consider a class of learning problems regularized by a structured sparsity-inducing norm defined as the sum of 2- or ∞-norms over groups of variables. Whereas much effort ha...
Julien Mairal, Rodolphe Jenatton, Guillaume Obozin...
PRL
2011
14 years 8 months ago
A sparse version of the ridge logistic regression for large-scale text categorization
The ridge logistic regression has successfully been used in text categorization problems and it has been shown to reach the same performance as the Support Vector Machine but with...
Sujeevan Aseervatham, Anestis Antoniadis, É...
PAMI
2010
241views more  PAMI 2010»
14 years 8 months ago
Point Set Registration: Coherent Point Drift
We introduce Coherent Point Drift (CPD), a novel probabilistic method for nonrigid registration of point sets. The registration is treated as a Maximum Likelihood (ML) estimation ...
Andriy Myronenko, Xubo B. Song
TIP
2010
154views more  TIP 2010»
14 years 8 months ago
Efficient Fourier-Wavelet Super-Resolution
Super-resolution (SR) is the process of combining multiple aliased low-quality images to produce a high-resolution high-quality image. Aside from registration and fusion of low-res...
M. Dirk Robinson, Cynthia A. Toth, Joseph Y. Lo, S...