Convolution-based linear discriminant analysis for functional data classification
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Publication:6180217
DOI10.1016/j.ins.2021.09.057OpenAlexW3204002390MaRDI QIDQ6180217
André Fujita, Grover E. Castro Guzman
Publication date: 19 January 2024
Published in: Information Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ins.2021.09.057
Cites Work
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- Regularized linear discriminant analysis and its application in microarrays
- A new perspective to null linear discriminant analysis method and its fast implementation using random matrix multiplication with scatter matrices
- Covariance matrix estimation for stationary time series
- Inversion of Toeplitz matrices. II
- Curves discrimination: a nonparametric functional approach
- Robust estimation and classification for functional data via projection-based depth notions
- Sensible functional linear discriminant analysis
- Linear discriminant analysis guided by unsupervised ensemble learning
- Functional Linear Discriminant Analysis for Irregularly Sampled Curves
- Probability and Random Processes for Electrical and Computer Engineers
- The Theory of Linear Prediction
- Inverses of Toeplitz Operators, Innovations, and Orthogonal Polynomials
- A Functional Data—Analytic Approach to Signal Discrimination
- Orthogonal sparse linear discriminant analysis
- Principal components of random variables with values in a seperable hilbert space
- Classification Using Censored Functional Data
- Time Series Classification Based on Spectral Analysis
- Adaptive discriminant analysis for semi-supervised feature selection
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