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» Learning from Highly Structured Data by Decomposition
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CAI
2009
Springer
15 years 4 months ago
The Graph Programming Language GP
Abstract. GP (for Graph Programs) is a rule-based, nondeterministic programming language for solving graph problems at a high level of abstraction, freeing programmers from handlin...
Detlef Plump
NAA
2004
Springer
117views Mathematics» more  NAA 2004»
15 years 3 months ago
Parallel Performance of a 3D Elliptic Solver
It was recently shown that block-circulant preconditioners applied to a conjugate gradient method used to solve structured sparse linear systems arising from 2D or 3D elliptic prob...
Ivan Lirkov
ISCAS
2003
IEEE
126views Hardware» more  ISCAS 2003»
15 years 3 months ago
Bit rate optimized time-domain equalizers for DMT systems
The discrete multitone (DMT)transceivers have enjoyed great success in high speed data transmission. It is known that when the cyclicprefix is no shorterthan the channel impulse r...
Chun-Yang Chen, See-May Phoong
VL
1995
IEEE
110views Visual Languages» more  VL 1995»
15 years 1 months ago
Heterogeneous Visual Languages-Integrating Visual and Textual Programming
After more than a decade of research, visual languages have still not become everyday programming tools. On a short term, an integration of visual languages with well-established ...
Martin Erwig, Bernd Meyer
COMGEO
1999
ACM
14 years 9 months ago
Multiresolution hierarchies on unstructured triangle meshes
The use of polygonal meshes for the representation of highly complex geometric objects has become the de facto standard in most computer graphics applications. Especially triangle...
Leif Kobbelt, Jens Vorsatz, Hans-Peter Seidel