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PAMI
2008
391views more  PAMI 2008»
14 years 11 months ago
Riemannian Manifold Learning
Recently, manifold learning has been widely exploited in pattern recognition, data analysis, and machine learning. This paper presents a novel framework, called Riemannian manifold...
Tong Lin, Hongbin Zha
BMCBI
2008
113views more  BMCBI 2008»
14 years 12 months ago
SynBlast: Assisting the analysis of conserved synteny information
Motivation: In the last years more than 20 vertebrate genomes have been sequenced, and the rate at which genomic DNA information becomes available is rapidly accelerating. Gene du...
Jörg Lehmann, Peter F. Stadler, Sonja J. Proh...
DATE
2008
IEEE
112views Hardware» more  DATE 2008»
15 years 6 months ago
An novel Methodology for Reducing SoC Test Data Volume on FPGA-based Testers
Low-Cost test methodologies for Systems-on-Chip are increasingly popular. They dictate which features have to be included on-chip and which test procedures have to be adopted in o...
Paolo Bernardi, Matteo Sonza Reorda
APVIS
2010
15 years 1 months ago
Physically-based interactive schlieren flow visualization
Understanding fluid flow is a difficult problem and of increasing importance as computational fluid dynamics produces an abundance of simulation data. Experimental flow analysis h...
Carson Brownlee, Vincent Pegoraro, Singer Shankar,...
CBMS
2001
IEEE
15 years 3 months ago
An Interoperable Data Architecture for Data Exchange in a Biomedical Research Network
Knowledge discovery and data correlation require a unified approach to basic data management. However, achieving such an approach is nearly impossible with hundreds of disparate d...
Daniel J. Crichton, J. Steven Hughes, Gregory J. D...