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149
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SIGMOD
2011
ACM
206views Database» more  SIGMOD 2011»
14 years 6 months ago
Sampling based algorithms for quantile computation in sensor networks
We study the problem of computing approximate quantiles in large-scale sensor networks communication-efficiently, a problem previously studied by Greenwald and Khana [12] and Shri...
Zengfeng Huang, Lu Wang, Ke Yi, Yunhao Liu
JMLR
2002
106views more  JMLR 2002»
15 years 3 months ago
Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels
We present some greedy learning algorithms for building sparse nonlinear regression and classification models from observational data using Mercer kernels. Our objective is to dev...
Prasanth B. Nair, Arindam Choudhury 0002, Andy J. ...
115
Voted
TON
1998
87views more  TON 1998»
15 years 3 months ago
Adaptive hybrid clock discipline algorithm for the network time protocol
This paper describes the analysis, implementation and performance of a new algorithm engineered to discipline a computer clock to a source of standard time, such as a GPS receiver...
David L. Mills
129
Voted
ITNG
2010
IEEE
15 years 8 months ago
A Fast and Stable Incremental Clustering Algorithm
— Clustering is a pivotal building block in many data mining applications and in machine learning in general. Most clustering algorithms in the literature pertain to off-line (or...
Steven Young, Itamar Arel, Thomas P. Karnowski, De...
118
Voted
3DPVT
2002
IEEE
219views Visualization» more  3DPVT 2002»
15 years 8 months ago
A Multi-Resolution Scheme ICP Algorithm for Fast Shape Registration
The iterative closest point (ICP) algorithm is widely used for the registration of geometric data. One of its main drawbacks is its quadratic time complexity O(N2 ) with the shape...
Timothée Jost, Heinz Hügli