Unsupervised Binary Representation Learning with Deep Variational Networks
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Computer Vision"
DOI: 10.1007/s11263-019-01166-4
Abstract: Learning to hash is regarded as an efficient approach for image retrieval and many other big-data applications. Recently, deep learning frameworks are adopted for image hashing, suggesting an alternative way to formulate the encoding function… read more here.
Keywords: representation learning; learning deep; deep variational; unsupervised binary ... See more keywords
Deep Variational Autoencoder for Mapping Functional Brain Networks
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Cognitive and Developmental Systems"
DOI: 10.1109/tcds.2020.3025137
Abstract: In the neuroimaging and brain mapping communities, researchers have proposed a variety of computational methods to map functional brain networks (FBNs). Recently, it has been proven that deep learning can be applied on fMRI data… read more here.
Keywords: variational autoencoder; functional brain; deep variational; autoencoder ... See more keywords
Deep Variational and Structural Hashing
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2018.2882816
Abstract: In this paper, we propose a deep variational and structural hashing (DVStH) method to learn compact binary codes for multimedia retrieval. Unlike most existing deep hashing methods which use a series of convolution and fully-connected… read more here.
Keywords: binary codes; deep variational; variational structural; structural hashing ... See more keywords
Deep Variational Autoencoder Classifier for Intelligent Fault Diagnosis Adaptive to Unseen Fault Categories
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Reliability"
DOI: 10.1109/tr.2021.3090310
Abstract: With the rapid development of artificial intelligence (AI) in recent years, fault diagnostics for industrial applications have leaped toward partially or fully automatic provided by the capability of analyzing massive condition monitoring data from sensors… read more here.
Keywords: fault; variational autoencoder; known fault; deep variational ... See more keywords
Flight maneuver intelligent recognition based on deep variational autoencoder network
Sign Up to like & getrecommendations! Published in 2022 at "EURASIP Journal on Advances in Signal Processing"
DOI: 10.21203/rs.3.rs-1107463/v1
Abstract: The selection and training of aircraft pilots has high standards, long training cycles, high resource consumption, high risk, and high elimination rate. It is the particularly urgent and important requirement for the current talent training… read more here.
Keywords: recognition; network; training; deep variational ... See more keywords