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» Distance- k knowledge in self-stabilizing algorithms
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AUSDM
2008
Springer
188views Data Mining» more  AUSDM 2008»
14 years 25 days ago
Priority Driven K-Anonymisation for Privacy Protection
Given the threat of re-identification in our growing digital society, guaranteeing privacy while providing worthwhile data for knowledge discovery has become a difficult problem. ...
Xiaoxun Sun, Hua Wang, Jiuyong Li
MOBICOM
2009
ACM
14 years 5 months ago
Lifetime and coverage guarantees through distributed coordinate-free sensor activation
Wireless Sensor Networks are emerging as a key sensing technology, with diverse military and civilian applications. In these networks, a large number of sensors perform distribute...
Gaurav S. Kasbekar, Yigal Bejerano, Saswati Sarkar
PODC
2004
ACM
14 years 4 months ago
Analyzing Kleinberg's (and other) small-world Models
We analyze the properties of Small-World networks, where links are much more likely to connect “neighbor nodes” than distant nodes. In particular, our analysis provides new re...
Charles U. Martel, Van Nguyen
PR
2006
141views more  PR 2006»
13 years 10 months ago
Relaxational metric adaptation and its application to semi-supervised clustering and content-based image retrieval
The performance of many supervised and unsupervised learning algorithms is very sensitive to the choice of an appropriate distance metric. Previous work in metric learning and ada...
Hong Chang, Dit-Yan Yeung, William K. Cheung
NIPS
1994
14 years 5 days ago
Using a neural net to instantiate a deformable model
Deformable models are an attractive approach to recognizing nonrigid objects which have considerable within class variability. However, there are severe search problems associated...
Christopher K. I. Williams, Michael Revow, Geoffre...