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» Competitive Analysis of Distributed Algorithms
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ICDM
2007
IEEE
104views Data Mining» more  ICDM 2007»
15 years 9 months ago
Secure Logistic Regression of Horizontally and Vertically Partitioned Distributed Databases
Privacy-preserving data mining (PPDM) techniques aim to construct efficient data mining algorithms while maintaining privacy. Statistical disclosure limitation (SDL) techniques a...
Aleksandra B. Slavkovic, Yuval Nardi, Matthew M. T...
137
Voted
IPSN
2004
Springer
15 years 8 months ago
Distributed optimization in sensor networks
Wireless sensor networks are capable of collecting an enormous amount of data over space and time. Often, the ultimate objective is to derive an estimate of a parameter or functio...
Michael Rabbat, Robert D. Nowak
154
Voted
OPODIS
2003
15 years 4 months ago
Detecting Temporal Logic Predicates in Distributed Programs Using Computation Slicing
Detecting whether a finite execution trace (or a computation) of a distributed program satisfies a given predicate, called predicate detection, is a fundamental problem in distr...
Alper Sen, Vijay K. Garg
124
Voted
INFOCOM
2005
IEEE
15 years 8 months ago
Time and energy complexity of distributed computation in wireless sensor networks
— We consider a scenario where a wireless sensor network is formed by randomly deploying n sensors to measure some spatial function over a field, with the objective of computing...
Nilesh Khude, Anurag Kumar, Aditya Karnik
143
Voted
CVPR
2004
IEEE
16 years 4 months ago
Incremental Density Approximation and Kernel-Based Bayesian Filtering for Object Tracking
Statistical density estimation techniques are used in many computer vision applications such as object tracking, background subtraction, motion estimation and segmentation. The pa...
Bohyung Han, Dorin Comaniciu, Ying Zhu, Larry S. D...