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BMCBI
2010
144views more  BMCBI 2010»
15 years 2 months ago
Super-sparse principal component analyses for high-throughput genomic data
Background: Principal component analysis (PCA) has gained popularity as a method for the analysis of highdimensional genomic data. However, it is often difficult to interpret the ...
Donghwan Lee, Woojoo Lee, Youngjo Lee, Yudi Pawita...
CBSE
2011
Springer
14 years 1 months ago
Rectifying orphan components using group-failover in distributed real-time and embedded systems
Orphan requests are a significant problem for multi-tier distributed systems since they adversely impact system correctness by violating the exactly-once semantics of application...
Sumant Tambe, Aniruddha S. Gokhale
EDOC
2003
IEEE
15 years 7 months ago
How MDA Can Help Designing Component- and Aspect-based Applications
Distributed systems are inherently complex, and therefore difficult to design and develop. Experience shows that new technologies—such as components, aspects, and application f...
Lidia Fuentes, Mónica Pinto, Antonio Vallec...
ICRA
1998
IEEE
148views Robotics» more  ICRA 1998»
15 years 6 months ago
Position Estimation Using Principal Components of Range Data
1 sensors is to construct a structural description from sensor data and to match this description to a previously acquired model [Crowley 85]. An alternative is to project individu...
James L. Crowley, Frank Wallner, Bernt Schiele
CVPR
2003
IEEE
16 years 4 months ago
Generalized Principal Component Analysis (GPCA)
This paper presents an algebro-geometric solution to the problem of segmenting an unknown number of subspaces of unknown and varying dimensions from sample data points. We represen...
René Vidal, Shankar Sastry, Yi Ma