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» Solving Knapsack Problems in a Sticker Based Model
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134
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CIKM
2011
Springer
14 years 2 months ago
Towards feature selection in network
Traditional feature selection methods assume that the data are independent and identically distributed (i.i.d.). In real world, tremendous amounts of data are distributed in a net...
Quanquan Gu, Jiawei Han
117
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IJCAI
1997
15 years 4 months ago
Change, Change, Change: Three Approaches
We consider the frame problem, that is, char­ acterizing the assumption that properties tend to persist over time. We show that there are at least three distinct assumptions that...
Tom Costello
106
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TCSV
2002
90views more  TCSV 2002»
15 years 2 months ago
Shot-boundary detection: unraveled and resolved?
Partitioning a video sequence into shots is the first step toward video-content analysis and content-based video browsing and retrieval. A video shot is defined as a series of inte...
Alan Hanjalic
140
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KDD
2008
ACM
134views Data Mining» more  KDD 2008»
16 years 3 months ago
Privacy-preserving cox regression for survival analysis
Privacy-preserving data mining (PPDM) is an emergent research area that addresses the incorporation of privacy preserving concerns to data mining techniques. In this paper we prop...
Shipeng Yu, Glenn Fung, Rómer Rosales, Srir...
164
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CVPR
2011
IEEE
14 years 10 months ago
Adapting an Object Detector by Considering the Worst Case: a Conservative Approach
The performance of an offline-trained classifier can be improved on-site by adapting the classifier towards newly acquired data. However, the adaptation rate is a tuning parame...
Guang Chen, TonyX. Han