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STACS
1999
Springer
13 years 12 months ago
A Complete and Tight Average-Case Analysis of Learning Monomials
Abstract. We advocate to analyze the average complexity of learning problems. An appropriate framework for this purpose is introduced. Based on it we consider the problem of learni...
Rüdiger Reischuk, Thomas Zeugmann
GLOBECOM
2006
IEEE
14 years 1 months ago
Exploiting Spatio-Temporal Correlations in MIMO Wireless Channel Prediction
— We investigate prediction algorithms that exploit both temporal and spatial correlations in MIMO correlated narrowband fading wireless channels. We first derive the optimal tw...
Ian C. Wong, Brian L. Evans
ICDM
2010
IEEE
150views Data Mining» more  ICDM 2010»
13 years 5 months ago
Probabilistic Inference Protection on Anonymized Data
Background knowledge is an important factor in privacy preserving data publishing. Probabilistic distributionbased background knowledge is a powerful kind of background knowledge w...
Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang, Y...
ICASSP
2009
IEEE
14 years 2 months ago
Video coding using Variable Block-Size Spatially Varying Transforms
In our previous work, we introduced Spatially Varying Transforms (SVT) for video coding, where the location of the transform block within the macroblock is not fixed but varying. ...
Cixun Zhang, Kemal Ugur, Jani Lainema, Moncef Gabb...
SDM
2007
SIAM
171views Data Mining» more  SDM 2007»
13 years 9 months ago
A Better Alternative to Piecewise Linear Time Series Segmentation
Time series are difficult to monitor, summarize and predict. Segmentation organizes time series into few intervals having uniform characteristics (flatness, linearity, modality,...
Daniel Lemire