Unsupervised dimensionality reduction of hyperspectral images using representations of reflectance spectra
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2020.1766146
Abstract: ABSTRACT Unsupervised feature selection (UFS) is a standard approach to reduce the dimensionality of hyperspectral images (HSIs). The main idea in UFS is to define a similarity metric, and select the features minimizing the metric… read more here.
Keywords: unsupervised dimensionality; reflectance; dimensionality; dimensionality reduction ... See more keywords
Unsupervised Dimensionality Reduction Techniques for the Assessment of ASD Biomarkers
Sign Up to like & getrecommendations! Published in 2024 at "Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing"
DOI: 10.1142/9789819807024_0044
Abstract: Autism Spectrum Disorder (ASD) encompasses a range of developmental disabilities marked by differences in social functioning, cognition, and behavior. Both genetic and environmental factors are known to contribute to ASD, yet the exact etiological factors… read more here.
Keywords: assessment asd; dimensionality reduction; techniques assessment; unsupervised dimensionality ... See more keywords