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» Microarray image analysis based on an evolutionary approach
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ICIP
2004
IEEE
14 years 10 months ago
Modulation-feature based textured image segmentation using curve evolution
In this paper we incorporate recent results from AM-FM models for texture analysis into the variational model of image segmentation and examine the potential benefits of using the...
Iasonas Kokkinos, Georgios Evangelopoulos, Petros ...
ICNC
2005
Springer
14 years 2 months ago
Line-Based PCA and LDA Approaches for Face Recognition
Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) techniques are important and well-developed area of image recognition and to date many linear discriminati...
Vo Dinh Minh Nhat, Sungyoung Lee
BMCBI
2010
123views more  BMCBI 2010»
13 years 9 months ago
Prediction of breast cancer prognosis using gene set statistics provides signature stability and biological context
Background: Different microarray studies have compiled gene lists for predicting outcomes of a range of treatments and diseases. These have produced gene lists that have little ov...
Gad Abraham, Adam Kowalczyk, Sherene Loi, Izhak Ha...
GECCO
2009
Springer
204views Optimization» more  GECCO 2009»
14 years 1 months ago
Combined structure and motion extraction from visual data using evolutionary active learning
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
Krishnanand N. Kaipa, Josh C. Bongard, Andrew N. M...
BMCBI
2007
149views more  BMCBI 2007»
13 years 9 months ago
Identification of tissue-specific cis-regulatory modules based on interactions between transcription factors
Background: Evolutionary conservation has been used successfully to help identify cis-acting DNA regions that are important in regulating tissue-specific gene expression. Motivate...
Xueping Yu, Jimmy J. Lin, Donald J. Zack, Jiang Qi...