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ICML
2003
IEEE
15 years 10 months ago
Online Convex Programming and Generalized Infinitesimal Gradient Ascent
Convex programming involves a convex set F Rn and a convex cost function c : F R. The goal of convex programming is to find a point in F which minimizes c. In online convex prog...
Martin Zinkevich
ICIP
2007
IEEE
15 years 3 months ago
Sparse Gradient Image Reconstruction Done Faster
In a wide variety of imaging applications (especially medical imaging), we obtain a partial set or subset of the Fourier transform of an image. From these Fourier measurements, we...
Ray Maleh, Anna C. Gilbert, Martin J. Strauss
VLDB
2001
ACM
109views Database» more  VLDB 2001»
15 years 2 months ago
Mining Multi-Dimensional Constrained Gradients in Data Cubes
Constrained gradient analysis (similar to the “cubegrade” problem posed by Imielinski, et al. [9]) is to extract pairs of similar cell characteristics associated with big chan...
Guozhu Dong, Jiawei Han, Joyce M. W. Lam, Jian Pei...
CRV
2008
IEEE
100views Robotics» more  CRV 2008»
15 years 4 months ago
Fast Normal Map Acquisition Using an LCD Screen Emitting Gradient Patterns
We propose an efficient technique for normal map acquisition, using a cheap and easy to build setup. Our setup consists solely of off-the-shelf components, such as an LCD screen,...
Yannick Francken, Chris Hermans, Tom Cuypers, Phil...
JMIV
2007
156views more  JMIV 2007»
14 years 9 months ago
Using the Shape Gradient for Active Contour Segmentation: from the Continuous to the Discrete Formulation
A variational approach to image or video segmentation consists in defining an energy depending on local or global image characteristics, the minimum of which being reached for ob...
Eric Debreuve, Muriel Gastaud, Michel Barlaud, Gil...