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» An Efficient Sparse Regularity Concept
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ECCV
2008
Springer
14 years 11 months ago
Discriminative Sparse Image Models for Class-Specific Edge Detection and Image Interpretation
Abstract. Sparse signal models learned from data are widely used in audio, image, and video restoration. They have recently been generalized to discriminative image understanding t...
Julien Mairal, Marius Leordeanu, Francis Bach, Mar...
CCR
1998
140views more  CCR 1998»
13 years 9 months ago
Policy tree multicast routing: an extension to sparse mode source tree delivery
Bandwidth-sensitive multicast delivery controlled by routing criteria pertinent to the actual traffic flow is very costly in terms of router state and control overhead and it scal...
Horst Hodel
ASPDAC
2007
ACM
89views Hardware» more  ASPDAC 2007»
14 years 1 months ago
Structured Placement with Topological Regularity Evaluation
Abstract-- This paper introduces a new concept of floorplanning and block placement, called structured placement. Regularity is a key criterion of structured placement so that plac...
Shigetoshi Nakatake
FCCM
2006
IEEE
113views VLSI» more  FCCM 2006»
14 years 3 months ago
GraphStep: A System Architecture for Sparse-Graph Algorithms
— Many important applications are organized around long-lived, irregular sparse graphs (e.g., data and knowledge bases, CAD optimization, numerical problems, simulations). The gr...
Michael DeLorimier, Nachiket Kapre, Nikil Mehta, D...
ICML
2010
IEEE
13 years 11 months ago
Tree-Guided Group Lasso for Multi-Task Regression with Structured Sparsity
We consider the problem of learning a sparse multi-task regression, where the structure in the outputs can be represented as a tree with leaf nodes as outputs and internal nodes a...
Seyoung Kim, Eric P. Xing