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TITB
2010
104views Education» more  TITB 2010»
14 years 9 months ago
Time-frequency analysis of accelerometry data for detection of myoclonic seizures
Four time-frequency and time-scale methods are studied for their ability of detecting myoclonic seizures from accelerometric data. Methods that are used are: the short-time Fourier...
Tamara M. E. Nijsen, Ronald M. Aarts, Pierre J. M....
TKDE
2010
251views more  TKDE 2010»
14 years 9 months ago
Exploring Correlated Subspaces for Efficient Query Processing in Sparse Databases
The sparse data is becoming increasingly common and available in many real-life applications. However, relative little attention has been paid to effectively model the sparse data ...
Bin Cui, Jiakui Zhao, Dongqing Yang
TON
2010
221views more  TON 2010»
14 years 9 months ago
Minimum-Cost Multiple Paths Subject to Minimum Link and Node Sharing in a Network
Abstract--In communication networks, multiple disjoint communication paths are desirable for many applications. Such paths, however, may not exist in a network. In such a situation...
S. Q. Zheng, Jianping Wang, Bing Yang, Mei Yang
TSE
2010
197views more  TSE 2010»
14 years 9 months ago
A Genetic Algorithm-Based Stress Test Requirements Generator Tool and Its Empirical Evaluation
Genetic algorithms (GAs) have been applied previously to UML-driven, stress test requirements generation with the aim of increasing chances of discovering faults relating to networ...
Vahid Garousi
TSP
2010
14 years 9 months ago
Distributed sparse linear regression
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....
Gonzalo Mateos, Juan Andrés Bazerque, Georg...
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