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KDD
2010
ACM
245views Data Mining» more  KDD 2010»
13 years 10 months ago
Learning incoherent sparse and low-rank patterns from multiple tasks
We consider the problem of learning incoherent sparse and lowrank patterns from multiple tasks. Our approach is based on a linear multi-task learning formulation, in which the spa...
Jianhui Chen, Ji Liu, Jieping Ye
DAC
2008
ACM
14 years 9 months ago
Concurrent topology and routing optimization in automotive network integration
In this paper, a novel automatic approach for the concurrent topology and routing optimization that achieves a high quality network layout is proposed. This optimization is based ...
Bardo Lang, Christian Haubelt, Jürgen Teich, ...
ISVC
2009
Springer
14 years 3 months ago
Combinatorial Preconditioners and Multilevel Solvers for Problems in Computer Vision and Image Processing
Abstract. Linear systems and eigen-calculations on symmetric diagonally dominant matrices (SDDs) occur ubiquitously in computer vision, computer graphics, and machine learning. In ...
Ioannis Koutis, Gary L. Miller, David Tolliver
ICCAD
1996
IEEE
74views Hardware» more  ICCAD 1996»
14 years 23 days ago
Optimal non-uniform wire-sizing under the Elmore delay model
We consider non-uniform wire-sizing for general routing trees under the Elmore delay model. Three minimization objectives are studied: 1) total weighted sink-delays; 2) total area...
Chung-Ping Chen, Hai Zhou, D. F. Wong
GECCO
2000
Springer
138views Optimization» more  GECCO 2000»
14 years 6 days ago
Time Complexity of genetic algorithms on exponentially scaled problems
This paper gives a theoretical and empirical analysis of the time complexity of genetic algorithms (GAs) on problems with exponentially scaled building blocks. It is important to ...
Fernando G. Lobo, David E. Goldberg, Martin Pelika...