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» Using Probabilistic Information in Data Integration
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DOA
2000
93views more  DOA 2000»
13 years 11 months ago
Meta Object Approach to Database Schema Integration
Database schema integration is significant not only in building multidatabase systems but also in data warehousing. Metadata, which define schemas, are normally involved in the su...
J. Tan, Arkady B. Zaslavsky, Andy Bond
CORR
2012
Springer
220views Education» more  CORR 2012»
12 years 5 months ago
Sparse Topical Coding
We present sparse topical coding (STC), a non-probabilistic formulation of topic models for discovering latent representations of large collections of data. Unlike probabilistic t...
Jun Zhu, Eric P. Xing
ICIP
2001
IEEE
14 years 11 months ago
Disparity map restoration by integration of confidence in Markov random fields models
This paper proposes some Markov Random Field (MRF) models for restoration of stereo disparity maps. The main aspect is the use of confidence maps provided by the Symmetric Multipl...
Andrea Fusiello, Umberto Castellani, Vittorio Muri...
POPL
1999
ACM
14 years 2 months ago
JFlow: Practical Mostly-Static Information Flow Control
A promising technique for protecting privacy and integrity of sensitive data is to statically check information flow within programs that manipulate the data. While previous work...
Andrew C. Myers
DAWAK
2006
Springer
14 years 1 months ago
A Versioning Management Model for Ontology-Based Data Warehouses
More and more integration systems use ontologies to solve the problem of semantic heterogeneities between autonomous databases. To automate the integration process, a number of the...
Dung Nguyen Xuan, Ladjel Bellatreche, Guy Pierra