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ECCV
2002
Springer
16 years 8 months ago
Principal Component Analysis over Continuous Subspaces and Intersection of Half-Spaces
Abstract. Principal Component Analysis (PCA) is one of the most popular techniques for dimensionality reduction of multivariate data points with application areas covering many bra...
Anat Levin, Amnon Shashua
SAS
1999
Springer
124views Formal Methods» more  SAS 1999»
15 years 10 months ago
State Space Reduction Based on Live Variables Analysis
The intrinsic complexity of most protocol speci cations in particular, and of asynchronous systems in general, lead us to study combinations of static analysis with classical model...
Marius Bozga, Jean-Claude Fernandez, Lucian Ghirvu
IJAR
2006
197views more  IJAR 2006»
15 years 6 months ago
Rough fuzzy set based scale space transforms and their use in image analysis
In this paper we present a multi-scale method based on the hybrid notion of rough fuzzy sets, coming from the combination of two models of uncertainty like vagueness by handling r...
Alfredo Petrosino, Giuseppe Salvi
AI
2005
Springer
15 years 6 months ago
Fast Protein Superfamily Classification Using Principal Component Null Space Analysis
Abstract. The protein family classification problem, which consists of determining the family memberships of given unknown protein sequences, is very important for a biologist for ...
Leon French, Alioune Ngom, Luis Rueda
CCS
2006
ACM
15 years 10 months ago
Design space and analysis of worm defense strategies
We give the first systematic investigation of the design space of worm defense system strategies. We accomplish this by g a taxonomy of defense strategies by abstracting away impl...
David Brumley, Li-Hao Liu, Pongsin Poosankam, Dawn...