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» Data Discretization Unification
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CVPR
2012
IEEE
12 years 15 days ago
Curvature-based regularization for surface approximation
We propose an energy-based framework for approximating surfaces from a cloud of point measurements corrupted by noise and outliers. Our energy assigns a tangent plane to each (noi...
Carl Olsson, Yuri Boykov
SIGMOD
2010
ACM
186views Database» more  SIGMOD 2010»
14 years 2 months ago
Fast approximate correlation for massive time-series data
We consider the problem of computing all-pair correlations in a warehouse containing a large number (e.g., tens of thousands) of time-series (or, signals). The problem arises in a...
Abdullah Mueen, Suman Nath, Jie Liu
VIS
2005
IEEE
110views Visualization» more  VIS 2005»
14 years 11 months ago
Prefiltered Gaussian Reconstruction for High-Quality Rendering of Volumetric Data sampled on a Body-Centered Cubic Grid
In this paper a novel high-quality reconstruction scheme is presented. Although our method is mainly proposed to reconstruct volumetric data sampled on an optimal Body-Centered Cu...
Balázs Csébfalvi
TIP
2002
114views more  TIP 2002»
13 years 9 months ago
Lossy to lossless object-based coding of 3-D MRI data
Abstract--We propose a fully three-dimensional (3-D) object-based coding system exploiting the diagnostic relevance of the different regions of the volumetric data for rate allocat...
Gloria Menegaz, Jean-Philippe Thiran
CORR
2006
Springer
135views Education» more  CORR 2006»
13 years 10 months ago
Classification of Ordinal Data
Many real life problems require the classification of items into naturally ordered classes. These problems are traditionally handled by conventional methods intended for the class...
Jaime S. Cardoso