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ICDCS
2006
IEEE
14 years 29 days ago
Scalable and Robust Aggregation Techniques for Extracting Statistical Information in Sensor Networks
Wireless sensor networks have stringent constraints on system resources and data aggregation techniques are critically important. However, accurate data aggregation is difficult ...
Hongbo Jiang, Shudong Jin
ICCV
2011
IEEE
12 years 7 months ago
BRISK: Binary Robust Invariant Scalable Keypoints
Effective and efficient generation of keypoints from an image is a well-studied problem in the literature and forms the basis of numerous Computer Vision applications. Establishe...
Stefan Leutenegger, Margarita Chli, Roland Y. Sieg...
KDD
2004
ACM
118views Data Mining» more  KDD 2004»
14 years 7 months ago
Parallel computation of high dimensional robust correlation and covariance matrices
The computation of covariance and correlation matrices are critical to many data mining applications and processes. Unfortunately the classical covariance and correlation matrices...
James Chilson, Raymond T. Ng, Alan Wagner, Ruben H...
AUSAI
2007
Springer
14 years 1 months ago
DBSC: A Dependency-Based Subspace Clustering Algorithm for High Dimensional Numerical Datasets
Abstract. We present a novel algorithm called DBSC, which finds subspace clusters in numerical datasets based on the concept of ”dependency”. This algorithm employs a depth-...
Xufei Wang, Chunping Li
ICDCN
2011
Springer
12 years 10 months ago
Load Balanced Scalable Byzantine Agreement through Quorum Building, with Full Information
We address the problem of designing distributed algorithms for large scale networks that are robust to Byzantine faults. We consider a message passing, full information model: the ...
Valerie King, Steven Lonargan, Jared Saia, Amitabh...