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112
Voted
SIGMOD
2010
ACM
186views Database» more  SIGMOD 2010»
15 years 5 months ago
Fast approximate correlation for massive time-series data
We consider the problem of computing all-pair correlations in a warehouse containing a large number (e.g., tens of thousands) of time-series (or, signals). The problem arises in a...
Abdullah Mueen, Suman Nath, Jie Liu
ML
2000
ACM
185views Machine Learning» more  ML 2000»
15 years 14 days ago
A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-Three Old and New Classification Algorithms
Twenty-two decision tree, nine statistical, and two neural network algorithms are compared on thirty-two datasets in terms of classification accuracy, training time, and (in the ca...
Tjen-Sien Lim, Wei-Yin Loh, Yu-Shan Shih
ICASSP
2011
IEEE
14 years 4 months ago
Estimation and dynamic updating of time-varying signals with sparse variations
This paper presents an algorithm for an 1-regularized Kalman filter. Given observations of a discrete-time linear dynamical system with sparse errors in the state evolution, we e...
Muhammad Salman Asif, Adam Charles, Justin K. Romb...
104
Voted
ESCIENCE
2005
IEEE
15 years 6 months ago
High-Performance Task Distribution for Volunteer Computing
Volunteer computing projects use a task server to manage work. Clients periodically communicate with the server to report completed tasks and get new tasks. The rate at which the ...
David P. Anderson, Eric Korpela, Rom Walton
85
Voted
DAC
1998
ACM
16 years 1 months ago
Robust IP Watermarking Methodologies for Physical Design
Increasingly popular reuse-based design paradigms create a pressing need for authorship enforcement techniques that protect the intellectual property rights of designers. We devel...
Andrew B. Kahng, Stefanus Mantik, Igor L. Markov, ...