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» Contention-Sensitive Data Structures and Algorithms
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ICPR
2006
IEEE
16 years 7 months ago
Dimensionality Reduction with Adaptive Kernels
1 A kernel determines the inductive bias of a learning algorithm on a specific data set, and it is beneficial to design specific kernel for a given data set. In this work, we propo...
Shuicheng Yan, Xiaoou Tang
KDD
2009
ACM
217views Data Mining» more  KDD 2009»
16 years 7 months ago
Efficient anomaly monitoring over moving object trajectory streams
Lately there exist increasing demands for online abnormality monitoring over trajectory streams, which are obtained from moving object tracking devices. This problem is challengin...
Yingyi Bu, Lei Chen 0002, Ada Wai-Chee Fu, Dawei L...
KDD
2008
ACM
120views Data Mining» more  KDD 2008»
16 years 7 months ago
Entity categorization over large document collections
Extracting entities (such as people, movies) from documents and identifying the categories (such as painter, writer) they belong to enable structured querying and data analysis ov...
Arnd Christian König, Rares Vernica, Venkates...
SIGMOD
2005
ACM
119views Database» more  SIGMOD 2005»
16 years 6 months ago
DogmatiX Tracks down Duplicates in XML
Duplicate detection is the problem of detecting different entries in a data source representing the same real-world entity. While research abounds in the realm of duplicate detect...
Melanie Weis, Felix Naumann
PODS
2008
ACM
204views Database» more  PODS 2008»
16 years 6 months ago
Annotated XML: queries and provenance
We present a formal framework for capturing the provenance of data appearing in XQuery views of XML. Building on previous work on relations and their (positive) query languages, w...
J. Nathan Foster, Todd J. Green, Val Tannen