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Pattern Recognition, 2018
Abstract Modern technologies have been producing data with complex intrinsic structures, which can be naturally represented as two-dimensional matrices, such as gray digital images, and electroencephalography (EEG) signals. When processing these data for classification, traditional classifiers, such as support vector machine (SVM) and logistic ...
Qingqing Zheng +4 more
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Abstract Modern technologies have been producing data with complex intrinsic structures, which can be naturally represented as two-dimensional matrices, such as gray digital images, and electroencephalography (EEG) signals. When processing these data for classification, traditional classifiers, such as support vector machine (SVM) and logistic ...
Qingqing Zheng +4 more
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Alginate matrix‐supported acetylcholinesterase
Journal of Chemical Technology and Biotechnology, 1980AbstractA natural matrix‐supported acetylcholinesterase was prepared from alginate extracted from a green algae commonly found in Egyptian fisheries. The COO− ions of alginate‐entrapped acetylcholinesterase protein molecules forming the basic groups. Calcium ions fixed to the anionic groups contributed to preserving the activity of acetylcholinesterase
Aida Awad, Olfat Awad
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Quantum algorithm for support matrix machines
Physical Review A, 2017We propose a quantum algorithm for support matrix machines (SMMs) that efficiently addresses an image classification problem by introducing a least-squares reformulation. This algorithm consists of two core subroutines: a quantum matrix inversion (Harrow-Hassidim-Lloyd, HHL) algorithm and a quantum singular value thresholding (QSVT) algorithm.
Bojia Duan +3 more
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Supporting matrix operations in vector architectures
Proceedings Sixth International Parallel Processing Symposium, 2003Many elementary numerical algorithms involve not only vector operations but also matrix operations. Today's vector processors only support vector operations, and execute matrix operations in terms of vector operations, because they can not access matrix operands in one instruction. This will lead to poor sustained performances of vector machines.
H. Bi, W.K. Giloi
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Cooperative Evolution Multiclass Support Matrix Machines
2020 International Joint Conference on Neural Networks (IJCNN), 2020Support Matrix Machines are one the efficient learning approach for the classification of complex nature data. However, either it can only deal with binary class problem or can deal with multi-class classification problem by breaking the problem into number of binary class problem and solving them individually or through solving larger optimization ...
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Supporting distributed sparse matrix objects
1996The distributed data library (DDL) was developed at the University of Liverpool partly to provide sparse matrix support for a parallel commercial compositional oil reservoir simulation code. The DDL is a portable combination of C and Fortran that uses MPI as its underlying message passing layer.
C. Addison, T. Oliver, A. Sunderland
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