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» Reconciling Feature Modeling: A Feature Modeling Metamodel
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BMCBI
2006
163views more  BMCBI 2006»
15 years 6 months ago
Ensemble attribute profile clustering: discovering and characterizing groups of genes with similar patterns of biological featur
Background: Ensemble attribute profile clustering is a novel, text-based strategy for analyzing a userdefined list of genes and/or proteins. The strategy exploits annotation data ...
J. R. Semeiks, A. Rizki, Mina J. Bissell, I. Saira...
BVAI
2005
Springer
15 years 12 months ago
A Population-Based Inference Framework for Feature-Based Attention in Natural Scenes
Abstract. Vision is a crucial sensor. It provides a very rich collection of information about our environment. However, not everything in a visual scene is relevant for the task at...
Fred Henrik Hamker
AVBPA
2001
Springer
117views Biometrics» more  AVBPA 2001»
15 years 11 months ago
Hand Recognition Using Implicit Polynomials and Geometric Features
Person identification and verification using biometric methods is getting more and more important in today’s information society; resulting in increased utilization of systems th...
Cenker Öden, Aytül Erçil, Vedat T...
ICMLA
2008
15 years 7 months ago
Predicting Algorithm Accuracy with a Small Set of Effective Meta-Features
We revisit 26 meta-features typically used in the context of meta-learning for model selection. Using visual analysis and computational complexity considerations, we find 4 meta-f...
Jun Won Lee, Christophe G. Giraud-Carrier
CVPR
2007
IEEE
16 years 8 months ago
Combining Static Classifiers and Class Syntax Models for Logical Entity Recognition in Scanned Historical Documents
Class syntax can be used to 1) model temporal or locational evolvement of class labels of feature observation sequences, 2) correct classification errors of static classifiers if ...
Song Mao, Praveer Mansukhani, George R. Thoma