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ICCV
2009
IEEE
14 years 7 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
ICNC
2009
Springer
15 years 4 months ago
Estimating Strength of Concrete Using a Grammatical Evolution
The main purpose of this paper is to propose an incorporating a grammatical evolution (GE) into the genetic algorithm (GA), called GEGA, and apply it to estimate the compressive s...
Hsun-Hsin Hsu, Li Chen, Chang-Huan Kou, Tai-Sheng ...
SOFTCO
2004
Springer
15 years 3 months ago
Designing Neural Networks Using Gene Expression Programming
Abstract. An artificial neural network with all its elements is a rather complex structure, not easily constructed and/or trained to perform a particular task. Consequently, severa...
Cândida Ferreira
CCS
2007
ACM
15 years 4 months ago
Optimal security hardening using multi-objective optimization on attack tree models of networks
Researchers have previously looked into the problem of determining if a given set of security hardening measures can effectively make a networked system secure. Many of them also...
Rinku Dewri, Nayot Poolsappasit, Indrajit Ray, Dar...
CVPR
2009
IEEE
16 years 4 months ago
Beyond Pairwise Energies: Efficient Optimization for Higher-order MRFs
In this paper, we introduce a higher-order MRF optimization framework. On the one hand, it is very general; we thus use it to derive a generic optimizer that can be applied to a...
Nikos Komodakis (University of Crete), Nikos Parag...