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» Modeling skew in data streams
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ICMCS
2006
IEEE
344views Multimedia» more  ICMCS 2006»
14 years 4 months ago
Pattern Mining in Visual Concept Streams
Pattern mining algorithms are often much easier applied than quantitatively assessed. In this paper we address the pattern evaluation problem by looking at both the capability of ...
Lexing Xie, Shih-Fu Chang
ASC
2008
13 years 10 months ago
Dynamic classification for video stream using support vector machine
A dynamic classification using the support vector machine (SVM) technique is presented in this paper as a new `incremental' framework for multiple-classifying video stream da...
Mariette Awad, Yuichi Motai
STOC
2010
ACM
185views Algorithms» more  STOC 2010»
14 years 2 months ago
Measuring independence of datasets
Approximating pairwise, or k-wise, independence with sublinear memory is of considerable importance in the data stream model. In the streaming model the joint distribution is give...
Vladimir Braverman, Rafail Ostrovsky
ACL
2004
13 years 11 months ago
Annealing Techniques For Unsupervised Statistical Language Learning
Exploiting unannotated natural language data is hard largely because unsupervised parameter estimation is hard. We describe deterministic annealing (Rose et al., 1990) as an appea...
Noah A. Smith, Jason Eisner
IEEEVAST
2010
13 years 5 months ago
Anomaly detection in GPS data based on visual analytics
Modern machine learning techniques provide robust approaches for data-driven modeling and critical information extraction, while human experts hold the advantage of possessing hig...
Zicheng Liao, Yizhou Yu, Baoquan Chen