LAUSR

Detecting Hypernymy Relations Between Medical Compound Entities Using a Hybrid-Attention Based Bi-GRU-CapsNet Model

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0 Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2957827

Abstract: Named entities composed of multiple continuous words frequently occur in domain-specific knowledge graphs. In general, these named entities are composable and extensible, such as names of symptoms and diseases in the medical domain. Unlike the… read more here.

Keywords: compound entities; hybrid attention; capsnet; hypernymy relations ... See more keywords

Hyperspectral Image Classification With CapsNet and Markov Random Fields

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1 Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.3029174

Abstract: Hyperspectral image (HSI) classification is one of the most challenging problems in understanding HSI. Convolutional neural network(CNN), with the strong ability to extract features using the hidden layers in the network, has been introduced to… read more here.

Keywords: hyperspectral image; capsnet; image classification; cnn ... See more keywords

The Multi-Lane Capsule Network

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1 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… read more here.

Keywords: lane capsule; multi lane; capsnet; capsule ... See more keywords

A Fast Routing Capsule Network With Improved Dense Blocks

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2 Published in 2022 at "IEEE Transactions on Industrial Informatics"

DOI: 10.1109/tii.2021.3128412

Abstract: Routing algorithm in most existing Capsule Networks (CapsNets) is always a challenging problem due to its heavy computational burden. To address this issue, we propose a “fast routing” algorithm, where the high-level capsules are activated… read more here.

Keywords: dense blocks; fast routing; improved dense; capsnet ... See more keywords

A novel CapsNet neural network based on MobileNetV2 structure for robot image classification

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1 Published in 2022 at "Frontiers in Neurorobotics"

DOI: 10.3389/fnbot.2022.1007939

Abstract: Image classification indicates that it classifies the images into a certain category according to the information in the image. Therefore, extracting image feature information is an important research content in image classification. Traditional image classification… read more here.

Keywords: network; classification; robot image; image classification ... See more keywords