Results 71 to 80 of about 23,208,688 (165)
A Kernel Gabor-Based Weighted Region Covariance Matrix for Face Recognition
Sensors, 2012 This paper proposes a novel image region descriptor for face recognition, named kernel Gabor-based weighted region covariance matrix (KGWRCM). As different parts are different effectual in characterizing and recognizing faces, we construct a weighting ...
Yantao Li +3 more
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Algorithms for Matrix Transposition on Boolean N-Cube Configured Ensemble Architectures
, 1988 In a multiprocessor with distributed storage the data structures have a significant impact on the communication complexity. In this paper we present a few algorithms for performing matrix transposition on a Boolean $n$-cube.
Johnsson, Lennart,, Ho, Ching-Tien
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Applications of Lie methods to computations with polycyclic groups [PDF]
, 2008 In this thesis we demonstrate the algorithmic usefulness of the so-called Mal'cev correspondence for computations with infinite polycyclic groups.
Assmann, Björn
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Fast Multi-view Clustering with Sparse Matrix and Improved Normalized Cut [PDF]
Jisuanji kexue yu tansuoThe multi-view clustering algorithm is a novel approach to explore the inherent clustering structure among data. However, most existing methods suffer from noise issues when constructing similarity graphs and may lose important information during the ...
YANG Mingrui, ZHOU Shibing, WANG Xi, SONG Wei
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On the Relation between the AINV and the FAPINV Algorithms
International Journal of Mathematics and Mathematical Sciences, 2009 The approximate inverse (AINV) and the factored approximate inverse (FAPINV) are two known algorithms in the field of preconditioning of linear systems of equations.
Davod Khojasteh Salkuyeh, Hadi Roohani
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, 2013 Cochlear implants (CIs) require efficient speech processing to maximize information transmission to the brain, especially in noise. A novel CI processing strategy was proposed in our previous studies, in which sparsity-constrained non-negative matrix ...
Mark Lutman +7 more
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Some Algorithms for the Conditional Mean Vector and Covariance Matrix [PDF]
We consider here the problem of computing the mean vector and covariance matrix for a conditional normal distribution, considering especially a sequence of problems where the conditioning variables are changing.
John F. Monahan
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EURASIP Journal on Advances in Signal Processing, 2008 Adaptive reduced-rank (RR) multistage matrix Wiener filtering (MMWF) techniques, based on the minimum mean-square error (MMSE) criterion, are proposed for direct-sequence (DS) ultra-wideband (UWB) communication systems.
Hsuan-Yu Lin, Chia-Chang Hu
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An investigation of shortest paths algorithms [PDF]
, 1987 In this work, we classify the shortest path problems, review all source algorithms and analyse the different implementations of single source algorithms using various list structures and labelling techniques.
Tabatabai, Bijan Oni, Tabatabai, B.O
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