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» Hierarchical Graph Transformation
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GG
2004
Springer
15 years 5 months ago
Embedding in Switching Classes with Skew Gains
Abstract. In the context of graph transformation we look at the operation of switching, which can be viewed as an elegant method for realizing global transformations of (group-labe...
Andrzej Ehrenfeucht, Jurriaan Hage, Tero Harju, Gr...
MICRO
1997
IEEE
141views Hardware» more  MICRO 1997»
15 years 3 months ago
Unroll-and-Jam Using Uniformly Generated Sets
Modern architectural trends in instruction-level parallelism (ILP) are to increase the computational power of microprocessors significantly. As a result, the demands on memory ha...
Steve Carr, Yiping Guan
ENTCS
2006
172views more  ENTCS 2006»
14 years 11 months ago
Efficient Detection of Conflicts in Graph-based Model Transformation
Using graph transformation as a formalism to specify model transformation, termination and confluence of the graph transformation system are often required properties. Only under ...
Leen Lambers, Hartmut Ehrig, Fernando Orejas
IPCV
2008
15 years 1 months ago
Robust Hough-Based Symbol Recognition Using Knowledge-Based Hierarchical Neural Networks
Abstract - A robust method for symbol recognition is presented that utilizes a compact signature based on a modified Hough Transform (HT) and knowledge-based hierarchical neural ne...
Alexander Wong, William Bishop
ICIP
2007
IEEE
16 years 1 months ago
Hierarchical Tensor Approximation of Multidimensional Images
Visual data comprises of multi-scale and inhomogeneous signals. In this paper, we exploit these characteristics and develop an adaptive data approximation technique based on a hie...
Qing Wu, Tian Xia, Yizhou Yu