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» Modeling Signs Using Functional Data Analysis
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PAMI
2006
111views more  PAMI 2006»
13 years 7 months ago
Global Segmentation and Curvature Analysis of Volumetric Data Sets Using Trivariate B-Spline Functions
This paper presents a method to globally segment volumetric images into regions that contain convex or concave (elliptic) iso-surfaces, planar or cylindrical (parabolic) iso-surfa...
Octavian Soldea, Gershon Elber, Ehud Rivlin
MICCAI
1999
Springer
13 years 11 months ago
Analysis of Functional MRI Data Using Mutual Information
Abstract. A new information-theoretic approach is presented for analyzing fMRI data to calculate the brain activation map. The method is based on a formulation of the mutualinforma...
Andy Tsai, John W. Fisher III, Cindy Wible, Willia...
ICONIP
2009
13 years 5 months ago
Data Modelling for Analysis of Adaptive Changes in Fly Photoreceptors
Adaptation is a hallmark of sensory processing. We studied neural adaptation in intracellular voltage responses of the R1-R6 photoreceptors, of the fruit fly Drosophila, subjected ...
Uwe Friederich, Daniel Coca, Stephen A. Billings, ...
ICASSP
2011
IEEE
12 years 11 months ago
Joint analysis of f0 and speech rate with Functional Data Analysis
In this work we propose the use of Functional Data Analysis (FDA) as a powerful methodology to tackle problems where multiple continuous speech parameters have to be analyzed join...
Michele Gubian, Lou Boves, Francesco Cangemi
BIBE
2001
IEEE
193views Bioinformatics» more  BIBE 2001»
13 years 11 months ago
GIMS - A Data Warehouse for Storage and Analysis of Genome Sequence and Functional Data
Effective analysis of genome sequences and associated functional data requires access to many different kinds of biological information. For example, when analysing gene expressio...
Mike Cornell, Norman W. Paton, Shengli Wu, Carole ...