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» A General Framework for Graph Sparsification
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NIPS
2008
13 years 9 months ago
Dimensionality Reduction for Data in Multiple Feature Representations
In solving complex visual learning tasks, adopting multiple descriptors to more precisely characterize the data has been a feasible way for improving performance. These representa...
Yen-Yu Lin, Tyng-Luh Liu, Chiou-Shann Fuh
ICCS
1998
Springer
13 years 12 months ago
Handling Specification Knowledge Evolution Using Context Lattices
Internet-based information technologies have considerable potential for improving collaboration in professional communities. In this paper, we explain the concept of user-driven sp...
Aldo de Moor, Guy W. Mineau
GG
2004
Springer
14 years 1 months ago
Workshop on Graph-Based Tools
Graphs are well-known, well-understood, and frequently used means to depict networks of related items. They are successfully used as the underlying mathematical concept in various ...
Tom Mens, Andy Schürr, Gabriele Taentzer
SIGMOD
2010
ACM
308views Database» more  SIGMOD 2010»
13 years 6 months ago
GBLENDER: towards blending visual query formulation and query processing in graph databases
Given a graph database D and a query graph g, an exact subgraph matching query asks for the set S of graphs in D that contain g as a subgraph. This type of queries find important...
Changjiu Jin, Sourav S. Bhowmick, Xiaokui Xiao, Ja...
UAI
2004
13 years 9 months ago
Iterative Conditional Fitting for Gaussian Ancestral Graph Models
Ancestral graph models, introduced by Richardson and Spirtes (2002), generalize both Markov random fields and Bayesian networks to a class of graphs with a global Markov property ...
Mathias Drton, Thomas S. Richardson