A Novel Deep Density Model for Unsupervised Learning
Sign Up to like & getrecommendations! Published in 2018 at "Cognitive Computation"
DOI: 10.1007/s12559-018-9566-9
Abstract: Density models are fundamental in machine learning and have received a widespread application in practical cognitive modeling tasks and learning problems. In this work, we introduce a novel deep density model, referred to as deep… read more here.
Keywords: deep density; density model; density; novel deep ... See more keywords
Semi-Supervised Mixtures of Factor Analyzers Feature Extraction for Hyperspectral Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2020.3020498
Abstract: This letter proposes a semi-supervised mixtures of factor analyzers (S2MFA) feature extraction (FE) method for hyperspectral image (HSI). S2MFA uses a Gaussian mixture model to segment the image to different regions, each region follows a… read more here.
Keywords: supervised mixtures; factor analyzers; feature extraction; mixtures factor ... See more keywords