IEEE

A Subspace-Based Multinomial Logistic Regression for Hyperspectral Image Classification

Abstract: In this letter, we propose a multinomial-logistic-regression method for pixelwise hyperspectral classification. The feature vectors are formed by the energy of the spectral vectors projected ...
IEEE

Sparse Representation-Based Augmented Multinomial Logistic Extreme Learning Machine With Weighted Composite Features for Spectral–Spatial Classification of Hyperspectral Images

Abstract: Although extreme learning machine (ELM) has successfully been applied to a number of pattern recognition problems, only with the original ELM it can hardly yield high accuracy for the ...
Tidsskrift

Logistic regression with more than two categories

Stian Lydersen, PhD, professor of medical statistics at the Regional Centre for Child and Youth Mental Health and Child Welfare, Department of Mental Health, Norwegian University of Science and ...
Hosted on MSN

AI reshapes anime discovery with smarter, personalized tools

AI-powered anime recommendation systems are evolving from basic filters to sophisticated, context-aware tools that blend content analysis, collaborative filtering, and machine learning for highly ...