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General two-dimensional least-squares image subtraction
(2010)
A very general two-dimensional solution to the image convolution problem is presented
extending the least-squares approach of Bramich. Image convolution is of wide applicability
in astronomical data reduction including, ...
Understanding the effect of window length and overlap for assessing sEMG in dynamic fatiguing contractions: A non-linear dimensionality reduction and clustering
(2021)
The Short-Time Fourier transform (STFT) is a helpful tool to identify muscle fatigue with clinical and sports applications. However, the choice of STFT parameters may affect the estimation of myoelectrical manifestations ...
A New Feature Selection Method based on Intuitionistic Fuzzy Entropy to Categorize Text Documents
Selection of highly discriminative feature in text document plays a major challenging role in categorization. Feature selection is an important task that involves dimensionality reduction of feature matrix, which in turn ...
Structural shape optimisation using boundary elements and the biological growth method
(Springer, 2004-09)
A numerical evolutionary procedure for the structural optimisation for stress reduction of two-dimensional structures is presented in this paper. The proposed procedure couples the biological growth method (BGM) with the ...
Conjugacy theorems for loop reductive group schemes and Lie algebras
(Springer, 2014-01)
The conjugacy of split Cartan subalgebras in the finite-dimensional simple case (Chevalley) and in the symmetrizable Kac–Moody case (Peterson–Kac) are fundamental results of the theory of Lie algebras. Among the Kac–Moody ...
A kernel-based embedding framework for high-dimensional data analysis
(2019-08-28)
The world is essentially multidimensional, e.g., neurons, computer networks, Internet traffic, and financial markets. The challenge is to discover and extract information that lies hidden in these high-dimensional datasets ...
Teorias de Spin-1: decomposição em helicidades, redução dimensional e imersão de calibre
(Universidade Estadual Paulista (Unesp), 2015-03-05)
We have studied the physical content of the following models: Maxwell, Proca, Self-Dual and Maxwell-Chern-Simons. One method we have used is the decomposition in the so called helicity variables, which can be done in the ...
Comparación entre dos métodos de reducción de dimensionalidad en series de tiempo : Comparison between Two Dimensionality Reduction Methods in Time Series
(2009-12)
Two methods of dimensionality reduction of multivariate stationary time series are analyzed: Peña-Box’s methodology in the time domain and Brillinger’s methodology in the frequency domain. Two failures of Peña-Box’s ...
Algoritmos de seleção de características personalizados por classe para categorização de texto
(Universidade Federal de PernambucoUFPEBrasilPrograma de Pos Graduacao em Ciencia da Computacao, 2017)