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CIKM
2009
Springer
15 years 7 months ago
Scalable learning of collective behavior based on sparse social dimensions
The study of collective behavior is to understand how individuals behave in a social network environment. Oceans of data generated by social media like Facebook, Twitter, Flickr a...
Lei Tang, Huan Liu
131
Voted
IPPS
2006
IEEE
15 years 6 months ago
Exploiting processing locality through paging configurations in multitasked reconfigurable systems
FPGA chips in reconfigurable computer systems are used as malleable coprocessors where components of a hardware library of functions can be configured as needed. As the number of ...
T. Taher, Tarek A. El-Ghazawi
MMDB
2004
ACM
148views Multimedia» more  MMDB 2004»
15 years 5 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 ...
88
Voted
ALMOB
2007
74views more  ALMOB 2007»
15 years 18 days ago
Evaluating deterministic motif significance measures in protein databases
Background: Assessing the outcome of motif mining algorithms is an essential task, as the number of reported motifs can be very large. Significance measures play a central role in...
Pedro Gabriel Ferreira, Paulo J. Azevedo
CSDA
2008
128views more  CSDA 2008»
15 years 16 days ago
Classification tree analysis using TARGET
Tree models are valuable tools for predictive modeling and data mining. Traditional tree-growing methodologies such as CART are known to suffer from problems including greediness,...
J. Brian Gray, Guangzhe Fan