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GECCO
2008
Springer
141views Optimization» more  GECCO 2008»
15 years 1 months ago
A study of NK landscapes' basins and local optima networks
We propose a network characterization of combinatorial fitness landscapes by adapting the notion of inherent networks proposed for energy surfaces [5]. We use the well-known fami...
Gabriela Ochoa, Marco Tomassini, Sébastien ...
GECCO
2008
Springer
148views Optimization» more  GECCO 2008»
15 years 1 months ago
Accelerating convergence using rough sets theory for multi-objective optimization problems
We propose the use of rough sets theory to improve the first approximation provided by a multi-objective evolutionary algorithm and retain the nondominated solutions using a new ...
Luis V. Santana-Quintero, Carlos A. Coello Coello
ICASSP
2010
IEEE
15 years 26 days ago
Ultrasound tomography with learned dictionaries
We propose a new method for imaging sound speed in breast tissue from measurements obtained by ultrasound tomography (UST) scanners. Given the measurements, our algorithm finds a...
Ivana Tosic, Ivana Jovanovic, Pascal Frossard, Mar...
106
Voted
ICPR
2010
IEEE
15 years 26 days ago
A Statistical Learning Approach to Spatial Context Exploitation for Semantic Image Analysis
In this paper, a statistical learning approach to spatial context exploitation for semantic image analysis is presented. The proposed method constitutes an extension of the key pa...
Georgios Th. Papadopoulos, Vasileios Mezaris, Ioan...
115
Voted
CLEIEJ
2008
82views more  CLEIEJ 2008»
15 years 23 days ago
Postal Envelope Segmentation using Learning-Based Approach
This paper presents a learning-based approach to segment postal address blocks where the learning step uses only one pair of images (a sample image and its ideal segmented solutio...
Horacio Andrés Legal-Ayala, Jacques Facon, ...