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» The intrinsic dimensionality of graphs
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TIT
1998
79views more  TIT 1998»
13 years 9 months ago
Greedy and Heuristic Algorithms for Codes and Colorings
Abstract— Many of the fundamental coding problems can be represented as graph problems. These problems are often intrinsically difficult and unsolved even if the code length is ...
Tuvi Etzion, Patric R. J. Östergård
ICTAI
2007
IEEE
14 years 4 months ago
Constructing VEGGIE: Machine Learning for Context-Sensitive Graph Grammars
Context-sensitive graph grammar construction tools have been used to develop and study interesting languages. However, the high dimensionality of graph grammars result in costly e...
Keven Ates, Kang Zhang
ICDAR
2003
IEEE
14 years 3 months ago
Graph Grammar Based Analysis System of Complex Table Form Document
Structure analysis of table form document is important because printed documents and also electronical documents only provide geometrical layout and lexical information explicitly...
Akira Amano, Naoki Asada
CVPR
2010
IEEE
14 years 6 months ago
Sufficient Dimensionality Reduction for Visual Sequence Classification
When classifying high-dimensional sequence data, traditional methods (e.g., HMMs, CRFs) may require large amounts of training data to avoid overfitting. In such cases dimensional...
Alex Shyr, Raquel Urtasun, Michael Jordan
CGO
2004
IEEE
14 years 1 months ago
Single-Dimension Software Pipelining for Multi-Dimensional Loops
Traditionally, software pipelining is applied either to the innermost loop of a given loop nest or from the innermost loop to outer loops. In this paper, we propose a threestep ap...
Hongbo Rong, Zhizhong Tang, Ramaswamy Govindarajan...