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A review of feature selection methods based on mutual information
(Springer, 2014)
In this work, we present a review of the state of
the art of information-theoretic feature selection methods.
The concepts of feature relevance, redundance, and complementarity
(synergy) are clearly defined, as well ...
An Historical Causal-Chain Theory of Conceptions of Intelligence
(2023)
Lurking behind every conception of intelligence—whether an implicit (folk) or explicit (expert-generated) conception—is an underlying theory of meaning that specifies the form the theory of intelligence does and, indeed, ...
Algunos rasgos definitorios de un Derecho del Trabajo en proceso de cambioSome defining features of a changing Labor Law
(Pontificia Universidad Católica del PerúPE, 2017)
A Model Based on Genetic Algorithm for Colorectal Cancer Diagnosis
(2019-01-01)
In this paper we present a method based on genetic algorithm capable of analyzing a significant number of features obtained from fractal techniques, Haralick texture features and curvelet coefficients, as well as several ...
Legendre polynomials based feature extraction for online signature verification. Consistency analysis of feature combinations
(Elsevier, 2014-01)
In this paper, feature combinations associated with the most commonly used time functions related to the signing process are analyzed, in order to provide some insight on their actual discriminative power for online signature ...
Compact and discriminative approach for encoding spatial-relationship of visual words
(Association for Computing Machinery - ACMUniversity of SalamancaSalamanca, 2015-04)
The Bag-of-Visual-Words approach has been successfully used for video and image analysis by encoding local features as visual words, and the final representation is a histogram of the visual words detected in the image. ...
Modelos híbridos para classificar imagens histológicas: uma associação de deep features por transferência de aprendizado com comitê de classificadores
(Universidade Estadual Paulista (Unesp), 2021-08-05)
O uso de modelos CNN explorando transferência de aprendizado profundo é uma estratégia que pode ser aplicada para definir atributos de alto nível e, consequentemente, permitir investigações de padrões em conjuntos reduzidos ...
Addressing high dimensionality and lack of feature models in testing of software product lines
(Universidade Federal de PernambucoUFPEBrasilPrograma de Pos Graduacao em Ciencia da Computacao, 2016)