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IEEEICCI
2009
IEEE
13 years 7 months ago
Learning from an ensemble of Receptive Fields
Abstract-In this paper, we construct a neural-inspired computational model based on the representational capabilities of receptive fields. The proposed model, known as Shape Encodi...
Hanlin Goh, Joo Hwe Lim, Chai Quek
BMCBI
2008
132views more  BMCBI 2008»
13 years 9 months ago
Computational cluster validation for microarray data analysis: experimental assessment of Clest, Consensus Clustering, Figure of
Background: Inferring cluster structure in microarray datasets is a fundamental task for the so-called -omic sciences. It is also a fundamental question in Statistics, Data Analys...
Raffaele Giancarlo, Davide Scaturro, Filippo Utro
BIBM
2009
IEEE
206views Bioinformatics» more  BIBM 2009»
14 years 4 months ago
Application of Kernel Functions for Accurate Similarity Search in Large Chemical Databases
Background: Similaritysearch in chemical structure databases is an important problem with many applications in chemical genomics, drug design, and efficient chemical probe screeni...
Xiaohong Wang, Jun Huan, Aaron M. Smalter, Gerald ...
CLEF
2009
Springer
13 years 7 months ago
Overview of VideoCLEF 2009: New Perspectives on Speech-Based Multimedia Content Enrichment
VideoCLEF 2009 offered three tasks related to enriching video content for improved multimedia access in a multilingual environment. For each task, video data (Dutch-language telev...
Martha Larson, Eamonn Newman, Gareth J. F. Jones
ESANN
2006
13 years 11 months ago
Margin based Active Learning for LVQ Networks
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples during the model adaptation...
Frank-Michael Schleif, Barbara Hammer, Thomas Vill...