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KDD
2012
ACM
281views Data Mining» more  KDD 2012»
13 years 9 months ago
Active spectral clustering via iterative uncertainty reduction
Spectral clustering is a widely used method for organizing data that only relies on pairwise similarity measurements. This makes its application to non-vectorial data straightforw...
Fabian L. Wauthier, Nebojsa Jojic, Michael I. Jord...
APBC
2004
108views Bioinformatics» more  APBC 2004»
15 years 8 months ago
Ladderlike Stepping and Interval Jumping Searching Algorithms for DNA Sequences
In this study we have designed a novel algorithm for searching common segments in multiple DNA sequences. To improve efficiency in pattern searching, combination of hashing encodi...
Tun-Wen Pai, Margaret Dah-Tsyr Chang, Jia-Han Chu,...
ICIP
2006
IEEE
16 years 9 months ago
Generalized Histogram Equalization Based on Local Characteristics
From time to time, state-of-the-art contrast enhancement algorithms face undesired drawbacks, like loss of tiny details, enhancement of image noise, occasional overenhancement, an...
Tzu-Cheng Jen, Sheng-Jyh Wang
152
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WWW
2008
ACM
16 years 8 months ago
Recrawl scheduling based on information longevity
It is crucial for a web crawler to distinguish between ephemeral and persistent content. Ephemeral content (e.g., quote of the day) is usually not worth crawling, because by the t...
Christopher Olston, Sandeep Pandey
EWSN
2007
Springer
16 years 7 months ago
Removing Systematic Error in Node Localisation Using Scalable Data Fusion
Methods for node localisation in sensor networks usually rely upon the measurement of received strength, time-of-arrival, and/or angle-of-arrival of an incoming signal. In this pap...
Albert Krohn, Mike Hazas, Michael Beigl