Articles with "neighbor embedding" as a keyword



SAR target recognition using parametric supervised t-stochastic neighbor embedding

Sign Up to like & get
recommendations!
Published in 2017 at "Remote Sensing Letters"

DOI: 10.1080/2150704x.2017.1332795

Abstract: ABSTRACT This paper proposes a new method for feature extraction of synthetic aperture radar (SAR) image based on parametric supervised t-stochastic neighbor embedding (PS-tSNE). To mitigate the rejection of dissimilar targets from the same class,… read more here.

Keywords: neighbor embedding; recognition; stochastic neighbor; parametric supervised ... See more keywords

On the Attractive and Repulsive Forces of Generalized Stochastic Neighbor Embedding With Alpha-Divergence

Sign Up to like & get
recommendations!
Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3420425

Abstract: Stochastic neighbor embedding (SNE) performs nonlinear transformation from high-dimensional observation space to low-dimensional latent space which preserves neighbor affinities. Data pairs in latent space tend to be crowded due to the dimensionality reduction. To mitigate… read more here.

Keywords: alpha divergence; stochastic neighbor; neighbor embedding; sne ... See more keywords

Pansharpening Via Neighbor Embedding of Spatial Details

Sign Up to like & get
recommendations!
Published in 2021 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2021.3067877

Abstract: The spatial details injection model has been considered as a general framework in the literature of pansharpening, and recently there have been significant advances in this framework based on sparse representation (SR) of spatial details.… read more here.

Keywords: spatial details; pansharpening via; neighbor embedding; injection ... See more keywords

On the Use of t-Distributed Stochastic Neighbor Embedding for Data Visualization and Classification of Individuals with Parkinson's Disease

Sign Up to like & get
recommendations!
Published in 2018 at "Computational and Mathematical Methods in Medicine"

DOI: 10.1155/2018/8019232

Abstract: Parkinson's disease (PD) is a neurodegenerative disorder that remains incurable. The available treatments for the disorder include pharmacologic therapies and deep brain stimulation (DBS). These approaches may cause distinct side effects and motor responses. This… read more here.

Keywords: classification; neighbor embedding; distributed stochastic; data visualization ... See more keywords