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» Segmentation of medical images using a genetic algorithm
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JEI
2007
176views more  JEI 2007»
15 years 6 months ago
Adaptive techniques for microarray image analysis with related quality assessment
We propose novel techniques for microarray image analysis. In particular, we describe an overall pipeline able to solve the most common problems of microarray image analysis. We pr...
Sebastiano Battiato, Gianpiero di Blasi, Giovanni ...
ISBI
2004
IEEE
16 years 7 months ago
EEG Cortical Imaging: A Vector Field Approach for Laplacian Denoising and Missing Data Estimation
The surface Laplacian is known to be a theoretical reliable approximation of the cortical activity. Unfortunately, because of its high pass character and the relative low density ...
Teodor Alecu, Sviatoslav Voloshynovskiy, Thierry P...
WCE
2007
15 years 8 months ago
A Fast Multivariate Nearest Neighbour Imputation Algorithm
— Imputation of missing data is important in many areas, such as reducing non-response bias in surveys and maintaining medical documentation. Nearest neighbour (NN) imputation al...
Norman Solomon, Giles Oatley, Kenneth McGarry
CVPR
2011
IEEE
15 years 3 months ago
Making the Right Moves: Guiding Alpha-Expansion using Local Primal-Dual Gaps
This paper presents a new adaptive graph-cut based move-making algorithm for energy minimization. Traditional move-making algorithms such as Expansion and Swap operate by searchin...
Dhruv Batra, Pushmeet Kohli
GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
16 years 1 months ago
Genetic programming for cross-task knowledge sharing
We consider multitask learning of visual concepts within genetic programming (GP) framework. The proposed method evolves a population of GP individuals, with each of them composed...
Wojciech Jaskowski, Krzysztof Krawiec, Bartosz Wie...