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» Theoretical Frameworks for Data Mining
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ECCV
2006
Springer
14 years 11 months ago
Geometry and Kinematics with Uncertain Data
Abstract. In Computer Vision applications, one usually has to work with uncertain data. It is therefore important to be able to deal with uncertain geometry and uncertain transform...
Christian Perwass, Christian Gebken, Gerald Sommer
ICCBR
2001
Springer
14 years 1 months ago
Mining High-Quality Cases for Hypertext Prediction and Prefetching
Case-based reasoning aims to use past experience to solve new problems. A strong requirement for its application is that extensive experience base exists that provides statisticall...
Qiang Yang, Ian Tian Yi Li, Henry Haining Zhang
ICDM
2009
IEEE
138views Data Mining» more  ICDM 2009»
13 years 7 months ago
Semantic-Rich Markov Models for Web Prefetching
Abstract--Domain knowledge for web applications is currently being made available as domain ontology with the advent of the semantic web, in which semantics govern relationships am...
Nizar R. Mabroukeh, Christie I. Ezeife
MMDB
2004
ACM
148views Multimedia» more  MMDB 2004»
14 years 2 months ago
A unified framework for image database clustering and content-based retrieval
With the proliferation of image data, the need to search and retrieve images efficiently and accurately from a large image database or a collection of image databases has drastica...
Mei-Ling Shyu, Shu-Ching Chen, Min Chen, Chengcui ...
KDD
2009
ACM
217views Data Mining» more  KDD 2009»
14 years 9 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...