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ICCV
2009
IEEE
13 years 5 months ago
Learning with dynamic group sparsity
This paper investigates a new learning formulation called dynamic group sparsity. It is a natural extension of the standard sparsity concept in compressive sensing, and is motivat...
Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas
CORR
2011
Springer
261views Education» more  CORR 2011»
13 years 2 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...
FGR
2011
IEEE
176views Biometrics» more  FGR 2011»
12 years 11 months ago
Prop-free pointing detection in dynamic cluttered environments
Abstract—Vision-based prop-free pointing detection is challenging both from an algorithmic and a systems standpoint. From a computer vision perspective, accurately determining wh...
Pyry Matikainen, Padmanabhan Pillai, Lily B. Mumme...
CVPR
2012
IEEE
12 years 1 months ago
Foreground Detection Using Spatiotemporal Projection Kernels
Foreground detection is at the core of many video processing tasks. In this paper, we propose a novel video foreground detection method that exploits the statistics of 3D space-tim...
Y. Moshe, H. Hel-Or, and Y. Hel-Or
TOG
2002
154views more  TOG 2002»
13 years 7 months ago
Image based flow visualization
A new method for the visualization of two-dimensional fluid flow is presented. The method is based on the advection and decay of dye. These processes are simulated by defining eac...
Jarke J. van Wijk