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» New Algorithms for Statistical Analysis of Interval Data
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JEI
2007
176views more  JEI 2007»
14 years 11 months ago
Adaptive techniques for microarray image analysis with related quality assessment
We propose novel techniques for microarray image analysis. In particular, we describe an overall pipeline able to solve the most common problems of microarray image analysis. We pr...
Sebastiano Battiato, Gianpiero di Blasi, Giovanni ...
VTC
2006
IEEE
121views Communications» more  VTC 2006»
15 years 5 months ago
Estimation of the Channel-Impulse-Response Length for Adaptive OFDM Systems Based on Information Theoretic Criteria
Abstract—This paper proposes a new scheme based on information theoretical criteria to estimate the Channel-ImpulseResponse (CIR) length, whose accurate estimate represents one o...
Ali Aassie Ali, Van-Duc Nguyen, Kyandoghere Kyamak...
ICTAI
2005
IEEE
15 years 5 months ago
Determining the Optimal Number of Clusters Using a New Evolutionary Algorithm
Estimating the optimal number of clusters for a dataset is one of the most essential issues in cluster analysis. An improper pre-selection for the number of clusters might easily ...
Wei Lu, Issa Traoré
MICCAI
2005
Springer
16 years 21 days ago
Parametric Response Surface Models for Analysis of Multi-site fMRI Data
Analyses of fMRI brain data are often based on statistical tests applied to each voxel or use summary statistics within a region of interest (such as mean or peak activation). Thes...
Seyoung Kim, Padhraic Smyth, Hal S. Stern, Jessica...
MICCAI
2009
Springer
15 years 12 months ago
Tensor-Based Morphometry with Mappings Parameterized by Stationary Velocity Fields in Alzheimer's Disease Neuroimaging Initiativ
Tensor-based morphometry (TBM) is an analysis technique where anatomical information is characterized by means of the spatial transformations between a customized template and obse...
Ernesto Zacur, Matías Nicolás Bossa,...