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BMCBI
2008
174views more  BMCBI 2008»
13 years 10 months ago
Evolutionary approaches for the reverse-engineering of gene regulatory networks: A study on a biologically realistic dataset
Background: Inferring gene regulatory networks from data requires the development of algorithms devoted to structure extraction. When only static data are available, gene interact...
Cédric Auliac, Vincent Frouin, Xavier Gidro...
NIPS
2007
13 years 11 months ago
Sparse Feature Learning for Deep Belief Networks
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the ra...
Marc'Aurelio Ranzato, Y-Lan Boureau, Yann LeCun
CRYPTO
2004
Springer
86views Cryptology» more  CRYPTO 2004»
14 years 3 months ago
On Multiple Linear Approximations
In this paper we study the long standing problem of information extraction from multiple linear approximations. We develop a formal statistical framework for block cipher attacks b...
Alex Biryukov, Christophe De Cannière, Mich...
ICPR
2008
IEEE
14 years 4 months ago
Using SIFT features in palmprint authentication
As a new branch of biometrics, palmprint authentication has attracted increasing amount of attention because palmprints are abundant of line features so that low resolution images...
Jiansheng Chen, Yiu Sang Moon
ICPR
2010
IEEE
14 years 3 months ago
Classification of Polarimetric SAR Images Using Evolutionary RBF Neural Networks
This paper proposes an evolutionary RBF network classifier for polarimetric synthetic aperture radar ( SAR) images. The proposed feature extraction process utilizes the full covar...
Ince Turker, Serkan Kiranyaz, Gabbouj Moncef