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» Meaningful Change Detection in Structured Data
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SIGMOD
1997
ACM
93views Database» more  SIGMOD 1997»
13 years 9 months ago
Meaningful Change Detection in Structured Data
Sudarshan S. Chawathe, Hector Garcia-Molina
SEKE
2007
Springer
13 years 11 months ago
A Semantical Change Detection Algorithm for XML
XML diff algorithms proposed in the literature have focused on the structural analysis of the document. When XML is used for data exchange, or when different versions of a documen...
Rodrigo Cordeirodos Santos, Carmem S. Hara
CVPR
2010
IEEE
14 years 1 months ago
Automatic Discovery of Meaningful Object Parts with Latent CRFs
Object recognition is challenging due to high intra-class variability caused, e.g., by articulation, viewpoint changes, and partial occlusion. Successful methods need to strike a...
Paul Schnitzspan, Stefan Roth, Bernt Schiele
JMLR
2010
134views more  JMLR 2010»
12 years 11 months ago
Inference of Graphical Causal Models: Representing the Meaningful Information of Probability Distributions
This paper studies the feasibility and interpretation of learning the causal structure from observational data with the principles behind the Kolmogorov Minimal Sufficient Statist...
Jan Lemeire, Kris Steenhaut
VLDB
2004
ACM
129views Database» more  VLDB 2004»
13 years 10 months ago
Detecting Change in Data Streams
Detecting changes in a data stream is an important area of research with many applications. In this paper, we present a novel method for the detection and estimation of change. In...
Daniel Kifer, Shai Ben-David, Johannes Gehrke