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» Modeling Signs Using Functional Data Analysis
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FUIN
2011
358views Cryptology» more  FUIN 2011»
14 years 5 months ago
Unsupervised and Supervised Learning Approaches Together for Microarray Analysis
In this article, a novel concept is introduced by using both unsupervised and supervised learning. For unsupervised learning, the problem of fuzzy clustering in microarray data as ...
Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopa...
DKE
2007
130views more  DKE 2007»
15 years 1 months ago
Enabling access-privacy for random walk based data analysis applications
Random walk graph and Markov chain based models are used heavily in many data and system analysis domains, including web, bioinformatics, and queuing. These models enable the desc...
Ping Lin, K. Selçuk Candan
DSD
2008
IEEE
85views Hardware» more  DSD 2008»
15 years 8 months ago
TASTE: Testability Analysis Engine and Opened Libraries for Digital Data Path
Testability is one of the most important factors that are considered during design cycle along with reliability, speed, power consumption, cost and other factors important for a c...
Josef Strnadel
BILDMED
2007
141views Algorithms» more  BILDMED 2007»
15 years 3 months ago
Angiographic Assessment of Myocardial Perfusion Using Correlation Analysis
Abstract. Although angiography was originally designed as a morphological imaging modality, it is increasingly demanded to retrieve functional information from conventional angiogr...
Yu Deuerling-Zheng, Jan Boese, Stephan Achenbach, ...
SIAMREV
2010
170views more  SIAMREV 2010»
14 years 8 months ago
Network Properties Revealed through Matrix Functions
The newly emerging field of Network Science deals with the tasks of modelling, comparing and summarizing large data sets that describe complex interactions. Because pairwise affin...
Ernesto Estrada, Desmond J. Higham