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SDM
2012
SIAM
234views Data Mining» more  SDM 2012»
11 years 10 months ago
Monitoring and Mining Insect Sounds in Visual Space
Monitoring animals by the sounds they produce is an important and challenging task, whether the application is outdoors in a natural habitat, or in the controlled environment of a...
Yuan Hao, Bilson J. L. Campana, Eamonn J. Keogh
VLDB
2006
ACM
162views Database» more  VLDB 2006»
14 years 8 months ago
Dependency trees in sub-linear time and bounded memory
We focus on the problem of efficient learning of dependency trees. Once grown, they can be used as a special case of a Bayesian network, for PDF approximation, and for many other u...
Dan Pelleg, Andrew W. Moore
PAKDD
2005
ACM
120views Data Mining» more  PAKDD 2005»
14 years 1 months ago
Speeding-Up Hierarchical Agglomerative Clustering in Presence of Expensive Metrics
In several contexts and domains, hierarchical agglomerative clustering (HAC) offers best-quality results, but at the price of a high complexity which reduces the size of datasets ...
Mirco Nanni
ISVC
2007
Springer
14 years 1 months ago
Motion Projection for Floating Object Detection
Abstract. Floating mines are a significant threat to the safety of ships in theatres of military or terrorist conflict. Automating mine detection is difficult, due to the unpredict...
Zhaoyi Wei, Dah-Jye Lee, David Jilk, Robert B. Sch...
ICDM
2009
IEEE
137views Data Mining» more  ICDM 2009»
14 years 2 months ago
A Local Scalable Distributed Expectation Maximization Algorithm for Large Peer-to-Peer Networks
This paper offers a local distributed algorithm for expectation maximization in large peer-to-peer environments. The algorithm can be used for a variety of well-known data mining...
Kanishka Bhaduri, Ashok N. Srivastava