598 search results - page 34 / 120 » Predicting Lattice Reduction |
162
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JMLR
2010
14 years 11 months ago
2010
The problems of dimension reduction and inference of statistical dependence are addressed by the modeling framework of learning gradients. The models we propose hold for Euclidean...
135
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EUROCRYPT
2005
Springer
15 years 9 months ago
2005
Springer
The Lenstra-Lenstra-Lov´asz lattice basis reduction algorithm (LLL or L3 ) is a very popular tool in public-key cryptanalysis and in many other fields. Given an integer d-dimensi...
153
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IDEAL
2010
Springer
15 years 2 months ago
2010
Springer
Dimension reduction for regression (DRR) deals with the problem of finding for high-dimensional data such low-dimensional representations, which preserve the ability to predict a ...
146
Voted
JMLR
2010
14 years 11 months ago
2010
The goal of sufficient dimension reduction in supervised learning is to find the lowdimensional subspace of input features that is `sufficient' for predicting output values. ...
151
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ICIP
2000
IEEE
16 years 5 months ago
2000
IEEE
This paper describes methods for adapting the scanning order through wavelet transform values used in the Wavelet Difference Reduction (WDR) algorithm of Tian and Wells. These new...