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ICASSP
2011
IEEE
12 years 10 months ago
Feature selection through gravitational search algorithm
In this paper we deal with the problem of feature selection by introducing a new approach based on Gravitational Search Algorithm (GSA). The proposed algorithm combines the optimi...
João Paulo Papa, Andre Pagnin, Silvana Arti...
ICASSP
2007
IEEE
14 years 20 days ago
Oversampled Inverse Complex Lapped Transform Optimization
When an oversampled FIR filter bank structure is used for signal analysis, a main problem is to guarantee its invertibility and to be able to determine an inverse synthesis filt...
Jérôme Gauthier, Laurent Duval, Jean-...
TNN
2008
141views more  TNN 2008»
13 years 6 months ago
MPCA: Multilinear Principal Component Analysis of Tensor Objects
This paper introduces a multilinear principal component analysis (MPCA) framework for tensor object feature extraction. Objects of interest in many computer vision and pattern rec...
Haiping Lu, Konstantinos N. Plataniotis, Anastasio...
TNN
2008
128views more  TNN 2008»
13 years 6 months ago
Nonnegative Matrix Factorization in Polynomial Feature Space
Abstract--Plenty of methods have been proposed in order to discover latent variables (features) in data sets. Such approaches include the principal component analysis (PCA), indepe...
Ioan Buciu, Nikos Nikolaidis, Ioannis Pitas
CIVR
2007
Springer
173views Image Analysis» more  CIVR 2007»
14 years 16 days ago
Fast and cheap object recognition by linear combination of views
In this paper, we present a real-time algorithm for 3D object detection in images. Our method relies on the Ullman and Basri [13] theory which claims that the same object under di...
Jérome Revaud, Guillaume Lavoué, Yas...