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ICDCS
2002
IEEE
14 years 1 months ago
A Fully Distributed Framework for Cost-Sensitive Data Mining
Data mining systems aim to discover patterns and extract useful information from facts recorded in databases. A widely adopted approach is to apply machine learning algorithms to ...
Wei Fan, Haixun Wang, Philip S. Yu, Salvatore J. S...
CIVR
2007
Springer
273views Image Analysis» more  CIVR 2007»
14 years 2 months ago
Scalable near identical image and shot detection
This paper proposes and compares two novel schemes for near duplicate image and video-shot detection. The first approach is based on global hierarchical colour histograms, using ...
Ondrej Chum, James Philbin, Michael Isard, Andrew ...
CORR
2006
Springer
103views Education» more  CORR 2006»
13 years 8 months ago
AS Relationships: Inference and Validation
Research on performance, robustness, and evolution of the global Internet is fundamentally handicapped without accurate and thorough knowledge of the nature and structure of the c...
Xenofontas A. Dimitropoulos, Dmitri V. Krioukov, M...
CGO
2003
IEEE
14 years 1 months ago
Adaptive Online Context-Sensitive Inlining
As current trends in software development move toward more complex object-oriented programming, inlining has become a vital optimization that provides substantial performance impr...
Kim M. Hazelwood, David Grove
KDD
2007
ACM
169views Data Mining» more  KDD 2007»
14 years 9 months ago
Exploiting underrepresented query aspects for automatic query expansion
Users attempt to express their search goals through web search queries. When a search goal has multiple components or aspects, documents that represent all the aspects are likely ...
Daniel Crabtree, Peter Andreae, Xiaoying Gao