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Published in 2019 at "Remote Sensing Letters"
DOI: 10.1080/2150704x.2019.1681598
Abstract: ABSTRACT A novel generative adversarial capsule network (Caps-GAN) model for hyperspectral image spectral-spatial classification is proposed in this Letter, which can effectively solve the scarce availability problem of annotated samples and improve classification performance. In…
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Keywords:
adversarial capsule;
classification;
capsule network;
generative adversarial ... See more keywords
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Published in 2023 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/stad854
Abstract: Classification of galaxy morphology is a hot issue in astronomical research. Although significant progress has been made in the last decade in classifying galaxy morphology using deep learning technology, there are still some deficiencies in…
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Keywords:
classification;
capsule network;
galaxy morphology;
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2901049
Abstract: Survival analysis is a branch of statistics to analyze the time duration that is expected until some events of interest happen, like the death in the organisms of biology. Currently, survival analysis based on pathological…
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Keywords:
whole slide;
survival analysis;
slide pathological;
pathological images ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2923008
Abstract: To treat the diseases or injuries of the joints, bones, muscles, and spine in both adult and pediatric imaging the musculoskeletal radiographs bring a significant depth of expertise. Abnormality detection in the musculoskeletal study is…
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Keywords:
musculoskeletal radiographs;
abnormality detection;
capsule network;
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2997177
Abstract: Knowledge graphs are collections of factual triples. Link prediction aims to predict lost factual triples in knowledge graphs. In this paper, we present a novel capsule network method for link prediction taking advantages of quaternion.…
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Keywords:
model;
knowledge graphs;
knowledge;
capsule network ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2997675
Abstract: Existing feature-based neural approaches for aspect-based sentiment analysis (ABSA) try to improve their performance with pre-trained word embeddings and by modeling the relations between the text sequence and the aspect (or category), thus heavily depending…
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Keywords:
aspect based;
based sentiment;
aspect;
capsule network ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3081529
Abstract: We propose a strategy that focuses on estimating the number of people in a crowd, one of the aims of crowd analysis, using static images or video images. While manual feature extraction was not performed…
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Keywords:
attention;
density;
capsule;
estimation ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3182806
Abstract: Dairy cow face recognition using Neural Networks has several hurdles. For example, there are only a few instances of each individual. The positions and angles of the individuals in the image fluctuate considerably, the differences…
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Keywords:
capsule network;
network;
recognition;
cow face ... See more keywords
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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3262025
Abstract: In order to fully extract the temporal and spatial features contained in motor imagery electroencephalography (EEG) signals for effective identification of motor imagery, a three-dimensional capsule network (3D-CapsNet) EEG signal recognition model is proposed, which…
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Keywords:
capsule network;
motor imagery;
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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2020.3022512
Abstract: Facing the challenge of small open labeled data sets in remote sensing change detection, this letter proposes a novel supervised change detection method by taking advantages of capsule network which can reach the same performance…
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Keywords:
capsule;
change detection;
remote sensing;
capsule network ... See more keywords
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Published in 2019 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2019.2915661
Abstract: We introduce multi-lane capsule networks (MLCN), which are a separable and resource efficient organization of capsule networks (CapsNet) that allows parallel processing while achieving high accuracy at reduced cost. A MLCN is composed of a…
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Keywords:
lane capsule;
multi lane;
capsnet;
capsule ... See more keywords