Abstract: In functional classification problems the data available for learning are characterized by functions, rather than vectors of attributes.
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Abstract—In functional classification problems the data avail- able for learning are characterized by functions, rather than vectors of attributes.
In this work, an empirical evaluation of different classification methods is carried out using a variety of functional classification problems from different ...
The comparative evaluation is achieved by resorting to object classification (OC) and content-based image retrieval (CBIR) algorithms and evaluation metrics.
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Nov 27, 2023 · We here conduct a comprehensive review of classification methods for functional data. The review aims to bridge the gap between the functional data analysis ...
Sep 27, 2024 · Functional data analysis (FDA) is a statistical framework that allows for the analysis of curves, images, or functions on higher dimensional domains.
Missing: Comparative | Show results with:Comparative
A central topic in functional data analysis is how to design an optimal decision rule, based on training samples, to classify a data function. We ex-.
Missing: Comparative | Show results with:Comparative
In this paper, based on the idea of linear discriminant analysis, we develop a new simple classification algorithm for the functional PU classification problem ...
Oct 24, 2023 · A comparative study of features selection for skin lesion detection from dermoscopic images. Network Modeling Analysis in Health Informatics ...
This paper proposes a Bayes classification rule for binary-valued functional observations that can be used to detect malicious social media accounts based on ...