Learning framework of multimodal Gaussian-Bernoulli RBM handling real-value input data
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.10.018
Abstract: Abstract The conventional Gaussian–Bernoulli restricted Boltzmann machine (GBRBM), which is a RBM model for processing real-valued data, presumes single Gaussian distribution for learning real numbers. However, a single distribution is not able to effectively reflect… read more here.
Keywords: framework; gaussian bernoulli; rbm; proposed framework ... See more keywords
A Parallel Gaussian–Bernoulli Restricted Boltzmann Machine for Mining Area Classification With Hyperspectral Imagery
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2019.2892975
Abstract: In this paper, a novel feature extraction method is proposed for hyperspectral image classification using a Gaussian–Bernoulli restricted Boltzmann machine (GBRBM) in parallel. The proposed approach employs several GBRBMs with different hidden layers to extract… read more here.
Keywords: restricted boltzmann; bernoulli restricted; gaussian bernoulli; mining area ... See more keywords
Bluetooth Indoor Localization With Gaussian–Bernoulli Restricted Boltzmann Machine Plus Liquid State Machine
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2021.3135344
Abstract: The location information of sensors and devices plays an important role in Internet of Things (IoT). Low cost and energy efficient Bluetooth Low Energy (BLE)-based localization solutions are ideal for extensive use in IoT applications.… read more here.
Keywords: state; localization; machine; bernoulli restricted ... See more keywords