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Supervised Pattern Recognition
(Wiley, 2019)
Dynamic statistical classification
(Centro de Investigaciones en Matemática Pura y Aplicada (CIMPA) y Escuela de Matemática, San José, Costa Rica., 2017)
Hierarchical clustering and stochastic distance for indirect semi-supervised remote sensing image classification
(Springer, 2019-03-01)
Usually, image classification methods have supervised or unsupervised learning paradigms. While unsupervised methods do not need training data, the meanings behind the classified elements are not explicitly know. Conversely, ...
Dynamic statistical classificationClasificación estadística dinámica
(Universidad de Costa Rica, Centro de Investigación en Matemática Pura y Aplicada (CIMPA), 2017)
Comparative Study of FDA and Time Series Approaches for Seabed Classification from Acoustic Curves
(Springer Heidelberg, 2019-04)
Seabed classification in coastal environments is usually accomplished using multivariate methods applied to acoustic features from corrected or uncorrected echoes. This paper presents a comparative study of alternative ...
Weighted Pixel Statistics for Multispectral Image Classification of Remote Sensing Signatures: Performance Study
(Institute of Electrical and Electronics Engineers, 2016)
Development of Supervised Learning Predictive Models for Highly Non-linear Biological, Biomedical, and General Datasets
(Frontiers Media, 2020)
In highly non-linear datasets, attributes or features do not allow readily finding visual patterns for identifying common underlying behaviors. Therefore, it is not possible to achieve classification or regression using ...
Nuevos métodos de selección de objetos y su aplicación sinérgica
(Instituto Nacional de Astrofísica, Óptica y Electrónica, 2007)