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» Modeling Signs Using Functional Data Analysis
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ISBI
2004
IEEE
16 years 2 months ago
A Fast Fully 4D Incremental Gradient Reconstruction Algorithm for List Mode PET Data
We present a fully four-dimensional, globally convergent, incremental gradient algorithm to estimate the continuous-time tracer density from list mode positron emission tomography...
Quanzheng Li, Evren Asma, Richard M. Leahy
ESWA
2007
127views more  ESWA 2007»
15 years 1 months ago
An anticipation model of potential customers' purchasing behavior based on clustering analysis and association rules analysis
This paper proposes an anticipation model of potential customers’ purchasing behavior. This model is inferred from past purchasing behavior of loyal customers and the web server...
Horng-Jinh Chang, Lun-Ping Hung, Chia-Ling Ho
133
Voted
ISBI
2006
IEEE
15 years 7 months ago
Shape analysis using the Fisher-Rao Riemannian metric: unifying shape representation and deformation
— We show that the Fisher-Rao Riemannian metric is a natural, intrinsic tool for computing shape geodesics. When a parameterized probability density function is used to represent...
Adrian Peter, Anand Rangarajan
BMCBI
2008
226views more  BMCBI 2008»
15 years 1 months ago
ProteoLens: a visual analytic tool for multi-scale database-driven biological network data mining
Background: New systems biology studies require researchers to understand how interplay among myriads of biomolecular entities is orchestrated in order to achieve high-level cellu...
Tianxiao Huan, Andrey Y. Sivachenko, Scott H. Harr...
ICASSP
2011
IEEE
14 years 5 months ago
Soft frame margin estimation of Gaussian Mixture Models for speaker recognition with sparse training data
—Discriminative Training (DT) methods for acoustic modeling, such as MMI, MCE, and SVM, have been proved effective in speaker recognition. In this paper we propose a DT method fo...
Yan Yin, Qi Li