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CVPR
2007
IEEE
16 years 8 months ago
Feature Mining for Image Classification
The efficiency and robustness of a vision system is often largely determined by the quality of the image features available to it. In data mining, one typically works with immense...
Piotr Dollár, Zhuowen Tu, Hai Tao, Serge Be...
CVPR
2008
IEEE
16 years 8 months ago
Learning Bayesian Networks with qualitative constraints
Graphical models such as Bayesian Networks (BNs) are being increasingly applied to various computer vision problems. One bottleneck in using BN is that learning the BN model param...
Yan Tong, Qiang Ji
KDD
2002
ACM
127views Data Mining» more  KDD 2002»
16 years 7 months ago
Mining knowledge-sharing sites for viral marketing
Viral marketing takes advantage of networks of influence among customers to inexpensively achieve large changes in behavior. Our research seeks to put it on a firmer footing by mi...
Matthew Richardson, Pedro Domingos
ESA
2005
Springer
107views Algorithms» more  ESA 2005»
16 years 7 days ago
Workload-Optimal Histograms on Streams
Histograms are used in many ways in conventional databases and in data stream processing for summarizing massive data distributions. Previous work on constructing histograms on da...
S. Muthukrishnan, Martin Strauss, X. Zheng
SSD
2005
Springer
145views Database» more  SSD 2005»
16 years 5 days ago
High Performance Multimodal Networks
Networks often form the core of many users’ spatial databases. Networks are used to support the rapid navigation and analysis of linearly connected data such as that found in tra...
Erik G. Hoel, Wee-Liang Heng, Dale Honeycutt
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