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ICML
2007
IEEE
15 years 10 months ago
Dimensionality reduction and generalization
In this paper we investigate the regularization property of Kernel Principal Component Analysis (KPCA), by studying its application as a preprocessing step to supervised learning ...
Sofia Mosci, Lorenzo Rosasco, Alessandro Verri
CSR
2009
Springer
15 years 4 months ago
Depth Reduction for Circuits with a Single Layer of Modular Counting Gates
We consider the class of constant depth AND/OR circuits augmented with a layer of modular counting gates at the bottom layer, i.e AC0 ◦MODm circuits. We show that the following ...
Kristoffer Arnsfelt Hansen
ESANN
2001
14 years 11 months ago
Input data reduction for the prediction of financial time series
Prediction of financial time series using artificial neural networks has been the subject of many publications, even if the predictability of financial series remains a subject of ...
Amaury Lendasse, John Aldo Lee, Eric de Bodt, Vinc...
IBMRD
2006
63views more  IBMRD 2006»
14 years 9 months ago
Decomposing the load-store queue by function for power reduction and scalability
Because they are based on large content-addressable memories, load-store queues (LSQ) present implementation challenges in superscalar processors, especially as issue width and nu...
Lee Baugh, Craig B. Zilles
PAMI
2011
14 years 4 months ago
Learning Linear Discriminant Projections for Dimensionality Reduction of Image Descriptors
This paper proposes a general method for improving image descriptors using discriminant projections. Two methods based on Linear Discriminant Analysis have been recently introduce...
Hongping Cai, Krystian Mikolajczyk, Jiri Matas