Latent representation learning based autoencoder for unsupervised feature selection in hyperspectral imagery
Sign Up to like & getrecommendations! Published in 2021 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-10474-8
Abstract: In hyperspectral image (HSI) analysis, high-dimensional data may contain noisy, irrelevant and redundant information. To mitigate the negative effect from these information, feature selection is one of the useful solutions. Unsupervised feature selection is a… read more here.
Keywords: autoencoder; feature; latent representation; feature selection ... See more keywords
Gene selection for microarray data classification via dual latent representation learning
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DOI: 10.1016/j.neucom.2021.07.047
Abstract: Abstract With the rapid development of genetic sequencing and DNA microarray technologies, a large number of gene expression data has been generated, which provides an important reference for tumor diagnosis. However, it is challenging to… read more here.
Keywords: representation; latent representation; microarray data; gene ... See more keywords
Zero-Shot Learning via Robust Latent Representation and Manifold Regularization
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DOI: 10.1109/tip.2018.2881926
Abstract: Zero-shot learning (ZSL) for visual recognition aims to accurately recognize the objects of unseen classes through mapping the visual feature to an embedding space spanned by class semantic information. However, the semantic gap across visual… read more here.
Keywords: representation; robust latent; latent representation; shot learning ... See more keywords
AttGAN: Facial Attribute Editing by Only Changing What You Want
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2019.2916751
Abstract: Facial attribute editing aims to manipulate single or multiple attributes on a given face image, i.e., to generate a new face image with desired attributes while preserving other details. Recently, the generative adversarial net (GAN)… read more here.
Keywords: latent representation; facial attribute; attribute editing; attribute ... See more keywords
Latent Representation Learning for Alzheimer’s Disease Diagnosis With Incomplete Multi-Modality Neuroimaging and Genetic Data
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2019.2913158
Abstract: The fusion of complementary information contained in multi-modality data [e.g., magnetic resonance imaging (MRI), positron emission tomography (PET), and genetic data] has advanced the progress of automated Alzheimer’s disease (AD) diagnosis. However, multi-modality based AD… read more here.
Keywords: diagnosis; modality; latent representation; modality data ... See more keywords