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KDD
2008
ACM
119views Data Mining» more  KDD 2008»
14 years 7 months ago
SAIL: summation-based incremental learning for information-theoretic clustering
Information-theoretic clustering aims to exploit information theoretic measures as the clustering criteria. A common practice on this topic is so-called INFO-K-means, which perfor...
Junjie Wu, Hui Xiong, Jian Chen
ER
2006
Springer
123views Database» more  ER 2006»
13 years 11 months ago
A Quantitative Summary of XML Structures
Statistical summaries in relational databases mainly focus on the distribution of data values and have been found useful for various applications, such as query evaluation and data...
Zi Lin, Bingsheng He, Byron Choi
CJ
2004
99views more  CJ 2004»
13 years 7 months ago
Filters for XML-based Service Discovery in Pervasive Computing
Pervasive computing refers to an emerging trend towards numerous casually accessible devices connected to an increasingly ubiquitous network infrastructure. An important challenge...
Georgia Koloniari, Evaggelia Pitoura
EDBT
2006
ACM
116views Database» more  EDBT 2006»
14 years 7 months ago
VICO: Visualizing Connected Object Orderings
In modern databases, complex objects like multimedia data, proteins or text objects can be modeled in a variety of representations and can be decomposed into multiple instances of ...
Stefan Brecheisen, Hans-Peter Kriegel, Matthias Sc...
ICCV
2005
IEEE
14 years 9 months ago
Local Features for Object Class Recognition
In this paper we compare the performance of local detectors and descriptors in the context of object class recognition. Recently, many detectors / descriptors have been evaluated ...
Krystian Mikolajczyk, Bastian Leibe, Bernt Schiele