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» Redundancy based feature selection for microarray data
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BMCBI
2008
167views more  BMCBI 2008»
14 years 10 months ago
Expression profiles of switch-like genes accurately classify tissue and infectious disease phenotypes in model-based classificat
Background: Large-scale compilation of gene expression microarray datasets across diverse biological phenotypes provided a means of gathering a priori knowledge in the form of ide...
Michael Gormley, Aydin Tozeren
KES
2007
Springer
15 years 3 months ago
Face Recognition Based on 2D and 3D Features
This paper presents a completly automated face recognition system integrating both two dimensional (texture) and three dimensional (shape) features. We introduce a novel fusion str...
Stefano Arca, Raffaella Lanzarotti, Giuseppe Lipor...
ICARCV
2008
IEEE
154views Robotics» more  ICARCV 2008»
15 years 4 months ago
Detecting spurious features using parity space
—Detection of spurious features is instrumental in many computer vision applications. The standard approach is feature based, where extracted features are matched between the ima...
David Törnqvist, Thomas B. Schön, Fredri...
ICIP
2004
IEEE
15 years 11 months ago
Data hiding using trellis coded quantization
Information theoretic tools lead to the design and analysis of new blind data hiding methods. A novel quantizationbased blind method, which uses trellis coded quantization, is pro...
Ersin Esen, A. Aydin Alatan
BMCBI
2006
86views more  BMCBI 2006»
14 years 9 months ago
The impact of sample imbalance on identifying differentially expressed genes
Background: Recently several statistical methods have been proposed to identify genes with differential expression between two conditions. However, very few studies consider the p...
Kun Yang, Jianzhong Li, Hong Gao