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CAIP
2011
Springer
248views Image Analysis» more  CAIP 2011»
12 years 5 months ago
Statistical Tuning of Adaptive-Weight Depth Map Algorithm
Abstract. In depth map generation, the settings of the algorithm parameters to yield an accurate disparity estimation are usually chosen empirically or based on unplanned experimen...
Alejandro Hoyos, John Congote, Iñigo Barand...
BMCBI
2006
164views more  BMCBI 2006»
13 years 5 months ago
Evaluation of clustering algorithms for gene expression data
Background: Cluster analysis is an integral part of high dimensional data analysis. In the context of large scale gene expression data, a filtered set of genes are grouped togethe...
Susmita Datta, Somnath Datta
BMCBI
2008
132views more  BMCBI 2008»
13 years 5 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
DEXAW
2010
IEEE
196views Database» more  DEXAW 2010»
13 years 5 months ago
Direct Optimization of Evaluation Measures in Learning to Rank Using Particle Swarm
— One of the central issues in Learning to Rank (L2R) for Information Retrieval is to develop algorithms that construct ranking models by directly optimizing evaluation measures ...
Ósscar Alejo, Juan M. Fernández-Luna...
SMC
2007
IEEE
103views Control Systems» more  SMC 2007»
13 years 11 months ago
A new evaluation measure for information retrieval systems
Abstract— Some of the established approaches to evaluating text clustering algorithms for information retrieval show theoretical flaws. In this paper, we analyze these flaws an...
Martin Mehlitz, Christian Bauckhage, Jér&oc...