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» Detecting Inconsistencies in Distributed Data
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88
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ICML
2009
IEEE
16 years 1 months ago
Detecting the direction of causal time series
We propose a method that detects the true direction of time series, by fitting an autoregressive moving average model to the data. Whenever the noise is independent of the previou...
Arthur Gretton, Bernhard Schölkopf, Dominik J...
152
Voted
OSDI
2006
ACM
16 years 27 days ago
Ceph: A Scalable, High-Performance Distributed File System
We have developed Ceph, a distributed file system that provides excellent performance, reliability, and scalability. Ceph maximizes the separation between data and metadata manage...
Sage A. Weil, Scott A. Brandt, Ethan L. Miller, Da...
89
Voted
SDM
2008
SIAM
97views Data Mining» more  SDM 2008»
15 years 2 months ago
Efficient Distribution Mining and Classification
We define and solve the problem of "distribution classification", and, in general, "distribution mining". Given n distributions (i.e., clouds) of multi-dimensi...
Yasushi Sakurai, Rosalynn Chong, Lei Li, Christos ...
79
Voted
ICIP
2007
IEEE
16 years 2 months ago
Image Authentication Based on Distributed Source Coding
Image authentication is important in content delivery via untrusted intermediaries, such as peer-to-peer (P2P) file sharing. Many differently encoded versions of the original imag...
Yao-Chung Lin, David P. Varodayan, Bernd Girod
105
Voted
CORR
2010
Springer
163views Education» more  CORR 2010»
15 years 21 days ago
Distributed Principal Component Analysis for Wireless Sensor Networks
Abstract: The Principal Component Analysis (PCA) is a data dimensionality reduction technique well-suited for processing data from sensor networks. It can be applied to tasks like ...
Yann-Aël Le Borgne, Sylvain Raybaud, Gianluca...