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BMCBI
2008
170views more  BMCBI 2008»
13 years 6 months ago
A genetic approach for building different alphabets for peptide and protein classification
Background: In this paper, it is proposed an optimization approach for producing reduced alphabets for peptide classification, using a Genetic Algorithm. The classification task i...
Loris Nanni, Alessandra Lumini
ICML
2007
IEEE
14 years 7 months ago
Classifying matrices with a spectral regularization
We propose a method for the classification of matrices. We use a linear classifier with a novel regularization scheme based on the spectral 1-norm of its coefficient matrix. The s...
Ryota Tomioka, Kazuyuki Aihara
ECCV
2010
Springer
13 years 9 months ago
Disparity statistics for pedestrian detection: Combining appearance, motion, and stereo
Pedestrian detection is an important problem in computer vision due to its importance for applications such as visual surveillance, robotics, and automotive safety. This paper push...
CVPR
2004
IEEE
14 years 8 months ago
Learning Classifiers from Imbalanced Data Based on Biased Minimax Probability Machine
We consider the problem of the binary classification on imbalanced data, in which nearly all the instances are labelled as one class, while far fewer instances are labelled as the...
Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. ...
VTC
2010
IEEE
184views Communications» more  VTC 2010»
13 years 4 months ago
Cooperative Interference Prediction for Enhanced Link Adaptation in the 3GPP LTE Uplink
—The interference situation in the uplink of cellular networks, such as the 3GPP UTRAN Long Term Evolution (LTE), is usually highly volatile since from one transmission time inte...
Andreas Müller, Philipp Frank