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» Image Reconstruction by Linear Programming
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113
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MICCAI
2010
Springer
15 years 28 days ago
Model-Free, Regularized, Fast, and Robust Analytical Orientation Distribution Function Estimation
High Angular Resolution Imaging (HARDI) can better explore the complex micro-structure of white matter compared to Diffusion Tensor Imaging (DTI). Orientation Distribution Functio...
Jian Cheng, Aurobrata Ghosh, Rachid Deriche, Tianz...
127
Voted
COLT
1998
Springer
15 years 6 months ago
Large Margin Classification Using the Perceptron Algorithm
We introduce and analyze a new algorithm for linear classification which combines Rosenblatt's perceptron algorithm with Helmbold and Warmuth's leave-one-out method. Like...
Yoav Freund, Robert E. Schapire
143
Voted
KDD
2006
ACM
170views Data Mining» more  KDD 2006»
16 years 2 months ago
Computer aided detection via asymmetric cascade of sparse hyperplane classifiers
This paper describes a novel classification method for computer aided detection (CAD) that identifies structures of interest from medical images. CAD problems are challenging larg...
Jinbo Bi, Senthil Periaswamy, Kazunori Okada, Tosh...
139
Voted
CG
2000
Springer
15 years 2 months ago
Sketching space
In this paper we present a sketch modelling system which we call Stilton. The program resembles a desktop VRML browser, allowing a user to navigate a 3D model in a perspective pro...
Alasdair Turner, David Chapman, Alan Penn
149
Voted
SCIA
2009
Springer
305views Image Analysis» more  SCIA 2009»
15 years 9 months ago
A Convex Approach to Low Rank Matrix Approximation with Missing Data
Many computer vision problems can be formulated as low rank bilinear minimization problems. One reason for the success of these problems is that they can be efficiently solved usin...
Carl Olsson, Magnus Oskarsson