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Dynamic characterization of non-stationary signals using entropy-based relevance analysis
(2019-07-25)
Nowadays deal with data of high dimension, that contain complex signals whose information can be contaminated noise, redundancy or irrelevant information can be a recurring problem in processes such as EEG signals or signs ...
Entropy, mutual information, and population structure in genome-wide selectionEntropia, informação mútua e estrutura de populações na seleção genômica ampla
(Universidade Federal de Viçosa, 2022)
Precise determination of quantum critical points by the violation of the entropic area law
(AMER PHYSICAL SOC, 2011)
Finite-size scaling analysis turns out to be a powerful tool to calculate the phase diagram as well as the critical properties of two-dimensional classical statistical mechanics models and quantum Hamiltonians in one ...
Segmentação de fácies sísmicas com redes neurais
(Universidade do Vale do Rio dos Sinos, 2021-04-07)
The interpretation of seismic data is important for the characterization of the shape of the sediments in a geological study area. Traditionally, this work is carried out by visually choosing points that represent the ...
Segmentação de fácies sísmicas com redes neurais
(Universidade do Vale do Rio dos Sinos, 2021-04-07)
The interpretation of seismic data is important for the characterization of the shape of the sediments in a geological study area. Traditionally, this work is carried out by visually choosing points that represent the ...
Speech recognition using deep neural networks trained with non-uniform frame-level cost functions
(IEEE, 2017-11)
The aim of this paper is to present two new variations of the frame-level cost function for training a Deep neural network in order to achieve better word error rates in speech recognition. Minimization functions of a ...
Storage conditions and adsorption thermodynamic Propertiesfor purple Corn
(Licensee MDPI, Basel, Switzerland.CH, 2022)
Adsorption isotherms provide insight into the thermodynamic properties governed by food
storage conditions. Adsorption isotherms of purple corn of the Canteño variety were evaluated at 18,
25, and 30 C, for the equilibrium ...
Information Bottleneck and Representation Learning
(Cambridge University Press, 2020)
A grand challenge in representation learning is the development of computational algorithms that learn the different explanatory factors of variation behind high-dimensional data. Representation models (usually referred ...
Sistemas de k-meros em rede
(Universidade Federal de Minas GeraisUFMG, 2014-08-26)
The study of k-mers in lattice had as motivation investigate the isotropic-nematic phase transition present in liquid crystal systems. Liquid crystal molecules have a shape similar to discs or rods, wich align on one ...
Cátedra abierta al servicio de la comunidad, dos miradas interdisciplinares
(Universidad Tecnológica de PereiraPereira, 2022)