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SIGMOD
2009
ACM
192views Database» more  SIGMOD 2009»
15 years 12 months ago
Scalable join processing on very large RDF graphs
With the proliferation of the RDF data format, engines for RDF query processing are faced with very large graphs that contain hundreds of millions of RDF triples. This paper addre...
Thomas Neumann, Gerhard Weikum
CIKM
2009
Springer
15 years 3 months ago
Efficient processing of group-oriented connection queries in a large graph
We study query processing in large graphs that are fundamental data model underpinning various social networks and Web structures. Given a set of query nodes, we aim to find the g...
James Cheng, Yiping Ke, Wilfred Ng
AIPS
2000
15 years 1 months ago
New Advances in GraphHTN: Identifying Independent Subproblems in Large HTN Domains
We describe in this paper a new method for extracting knowledge on Hierarchical Task-Network (HTN) planning problems for speeding up the search. This knowledge is gathered by prop...
Amnon Lotem, Dana S. Nau
APVIS
2011
13 years 11 months ago
Multilevel agglomerative edge bundling for visualizing large graphs
Graphs are often used to encapsulate relationships between objects. Node-link diagrams, commonly used to visualize graphs, suffer from visual clutter on large graphs. Edge bundlin...
Emden R. Gansner, Yifan Hu, Stephen C. North, Carl...
PRL
2010
188views more  PRL 2010»
14 years 10 months ago
Sparsity preserving discriminant analysis for single training image face recognition
: Single training image face recognition is one of main challenges to appearance-based pattern recognition techniques. Many classical dimensionality reduction methods such as LDA h...
Lishan Qiao, Songcan Chen, Xiaoyang Tan