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AC
2008
Springer
13 years 8 months ago
Distributed Sparse Matrices for Very High Level Languages
Sparse matrices are first class objects in many VHLLs (very high level languages) used for scientific computing. They are a basic building block for various numerical and combinat...
John R. Gilbert, Steve Reinhardt, Viral Shah
IJCAI
2001
13 years 10 months ago
High Performance Reasoning with Very Large Knowledge Bases: A Practical Case Study
We present an empirical analysis of optimization techniques devised to speed up the so-called TBox classification supported by description logic systems which have to deal with ve...
Volker Haarslev, Ralf Möller
PARLE
1987
14 years 2 days ago
Emulating Digital Logic using Transputer Networks (very High Parallelism = Simplicity = Performance)
Modern VLSI technology has changed the economic rules by which the balance between processing power, memory and communications is decided in computing systems. This will have a pr...
Peter H. Welch
DLOG
2000
13 years 10 months ago
High Performance Reasoning with Very Large Knowledge Bases
In this contribution we present an empirical analysis of the performance of the ALCNHR+ description logic system RACE applied to TBoxes with a very large number of primitive conce...
Volker Haarslev, Ralf Möller
ICIP
2010
IEEE
13 years 6 months ago
Geometrical features for the classification of very high resolution multispectral remote-sensing images
In order to extract geometrical features from a multispectral image and derive a classification, an approach based on the topographic map of the image is proposed. For each pixel,...
Bin Luo, Jocelyn Chanussot