Robust Matrix Discriminative Analysis for Feature Extraction From Hyperspectral Images
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2017.2658948
Abstract: Linear discriminative analysis (LDA) is an effective feature extraction method for hyperspectral image (HSI) classification. Most of the existing LDA-related methods are based on spectral features, ignoring spatial information. Recently, a matrix discriminative analysis (MDA)… read more here.
Keywords: analysis; discriminative analysis; model; matrix discriminative ... See more keywords
Dimension Reduction for Non-Gaussian Data by Adaptive Discriminative Analysis
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2018.2789524
Abstract: High-dimensional non-Gaussian data are ubiquitous in many real applications. Face recognition is a typical example of such scenarios. The sampled face images of each person in the original data space are more closely located to… read more here.
Keywords: discriminative analysis; gaussian data; non gaussian; adaptive discriminative ... See more keywords