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KDD
1998
ACM
190views Data Mining» more  KDD 1998»
14 years 1 months ago
Time Series Forecasting from High-Dimensional Data with Multiple Adaptive Layers
This paper describes our work in learning online models that forecast real-valued variables in a high-dimensional space. A 3GB database was collected by sampling 421 real-valued s...
R. Bharat Rao, Scott Rickard, Frans Coetzee
ICIP
2007
IEEE
14 years 10 months ago
Compressed Sensing Image Reconstruction Via Recursive Spatially Adaptive Filtering
We introduce a new approach to image reconstruction from highly incomplete data. The available data are assumed to be a small collection of spectral coef?cients of an arbitrary li...
Karen O. Egiazarian, Alessandro Foi, Vladimir Katk...
PODC
2005
ACM
14 years 2 months ago
Adaptive routing with stale information
We investigate the behaviour of load-adaptive rerouting policies in the Wardrop model where decisions must be made on the basis of stale information. In this model, an infinite n...
Simon Fischer, Berthold Vöcking
DATE
2004
IEEE
145views Hardware» more  DATE 2004»
14 years 22 days ago
Hierarchical Adaptive Dynamic Power Management
Dynamic power management aims at extending battery life by switching devices to lower-power modes when there is a reduced demand for service. Static power management strategies can...
Zhiyuan Ren, Bruce H. Krogh, Radu Marculescu
BMCBI
2010
95views more  BMCBI 2010»
13 years 9 months ago
Identifying main effects and epistatic interactions from large-scale SNP data via adaptive group Lasso
Background: Single nucleotide polymorphism (SNP) based association studies aim at identifying SNPs associated with phenotypes, for example, complex diseases. The associated SNPs m...
Can Yang, Xiang Wan, Qiang Yang, Hong Xue, Weichua...