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» Learning from Highly Structured Data by Decomposition
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CVPR
2010
IEEE
16 years 16 days ago
Unified Graph Matching in Euclidean Spaces
Graph matching is a classical problem in pattern recognition with many applications, particularly when the graphs are embedded in Euclidean spaces, as is often the case for comput...
Julian McAuley, Teofilo de Campos, Tiberio Caetano
IPPS
1997
IEEE
15 years 8 months ago
Interoperability of Data Parallel Runtime Libraries
This paper describes a framework for providing the ability to use multiple specialized data parallel libraries and/or languages within a single application. The ability to use mul...
Guy Edjlali, Alan Sussman, Joel H. Saltz
EDBT
2004
ACM
147views Database» more  EDBT 2004»
16 years 4 months ago
Efficient Query Evaluation over Compressed XML Data
XML suffers from the major limitation of high redundancy. Even if compression can be beneficial for XML data, however, once compressed, the data can be seldom browsed and queried i...
Andrei Arion, Angela Bonifati, Gianni Costa, Sandr...
SAC
2005
ACM
15 years 9 months ago
Indexing continuously changing data with mean-variance tree
: Traditional spatial indexes like R-tree usually assume the database is not updated frequently. In applications like location-based services and sensor networks, this assumption i...
Yuni Xia, Sunil Prabhakar, Shan Lei, Reynold Cheng...
ICML
2004
IEEE
16 years 4 months ago
Testing the significance of attribute interactions
Attribute interactions are the irreducible dependencies between attributes. Interactions underlie feature relevance and selection, the structure of joint probability and classific...
Aleks Jakulin, Ivan Bratko