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» Decomposition of the NVALUE constraint
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CVPR
2010
IEEE
15 years 5 months ago
Hierarchical Convolutional Sparse Image Decomposition
Building robust low and mid-level image representations, beyond edge primitives, is a long-standing goal in vision. Many existing feature detectors spatially pool edge information...
Matthew Zeiler, Dilip Krishnan, Graham Taylor, Rob...
ICASSP
2008
IEEE
15 years 4 months ago
Nonnegative Tucker decomposition with alpha-divergence
Nonnegative Tucker decomposition (NTD) is a recent multiway extension of nonnegative matrix factorization (NMF), where nonnegativity constraints are incorporated into Tucker model...
Yong-Deok Kim, Andrzej Cichocki, Seungjin Choi
JSAC
2006
106views more  JSAC 2006»
14 years 9 months ago
Mathematical Decomposition Techniques for Distributed Cross-Layer Optimization of Data Networks
Abstract--Network performance can be increased if the traditionally separated network layers are jointly optimized. Recently, network utility maximization has emerged as a powerful...
Björn Johansson, Pablo Soldati, Mikael Johans...
70
Voted
IROS
2007
IEEE
92views Robotics» more  IROS 2007»
15 years 4 months ago
A space decomposition method for path planning of loop linkages
— This paper introduces box approximations as a new tool for path planning of closed-loop linkages. Box approximations are finite collections of rectangloids that tightly envelo...
Josep M. Porta, Juan Cortés, Lluís R...
CP
2005
Springer
15 years 3 months ago
Tree Decomposition with Function Filtering
Besides search, complete inference methods can also be used to solve soft constraint problems. Their main drawback is the high spatial complexity. To improve its practical usage, w...
Martí Sánchez, Javier Larrosa, Pedro...