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» A Simple Abstraction for Data Modeling
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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
CAISE
2004
Springer
16 years 3 days ago
Description Logics for Interoperability
tween documents. They should allow for an abstract representation of data which resembles the way they are actually perceived and used in the real world, thus shortening (with resp...
Enrico Franconi
CATA
2001
15 years 8 months ago
Object-oriented image database model
: In this paper we analyze some existing tools and approaches to image data modeling and we propose an Object-Oriented Image Data (OOID) model. It can be applied on a wide variety ...
William I. Grosky, Peter L. Stanchev
ALGOSENSORS
2007
Springer
16 years 27 days ago
Counting Targets with Mobile Sensors in an Unknown Environment
Abstract. We consider the problem of counting the number of indistinguishable targets using a simple binary sensing model. Our setting includes an unknown number of point targets i...
Beat Gfeller, Matús Mihalák, Subhash...
IPPS
2003
IEEE
16 years 3 hour ago
A Compilation Framework for Distributed Memory Parallelization of Data Mining Algorithms
With the availability of large datasets in a variety of scientific and commercial domains, data mining has emerged as an important area within the last decade. Data mining techni...
Xiaogang Li, Ruoming Jin, Gagan Agrawal