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Computing with Capsules
[chapter]
2012
Lecture Notes in Computer Science
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Capsules provide an algebraic representation of the state of a computation in higher-order functional and imperative languages. ...
One can give an operational semantics based on capsules for a higher-order programming language with functional and imperative features, including mutable bindings. ...
Introduction Capsules provide an algebraic representation of the state of a computation in higher-order functional and imperative programming languages. ...
doi:10.1007/978-3-642-31623-4_1
fatcat:5ed2n54nxrhnjjkamkja6lf3ba
Computer-Aided Detection of Gastrointestinal Disorders with Endoscopy Capsule Images
2015
Journal of Public Health Frontier
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The endoscopy capsule (EC) is a reliable, secure, and non-invasive tool for diagnosing disorders in the gastrointestinal tract (GIT). ...
For validation of the developed methods, the EC images with known diagnoses were used as ground truth. ...
To do this, the remaining objects in the binary image were computed, and it was observed that the largest area coincided with the bleeding area. ...
doi:10.5963/phf0404001
fatcat:nhzyxsg4yrcfvksy6qu2xqf4fq
Computational Hypersonic Aerodynamics with Emphasis on Earth Reentry Capsules
English
2016
INCAS Bulletin
English
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For this reason, the present paper deals with the computational hypersonic aerodynamics with chemical reactions with the aim of supporting Earth reentry capsule design. ...
NUMERICAL SIMULATIONS AND RESULTS The 2D and 3D numerical simulations were computed with commercial code Ansys Fluent over a sphere-cone reentry capsule whose geometry is given in [6] . ...
The hexahedral cells were used only near the capsule while the tetrahedral cells were employed in rest of computational domain to increase the numerical (artificial) viscosity in order to diminish the ...
doi:10.13111/2066-8201.2016.8.3.5
fatcat:q7t3jhwd7ratlo3ehifdue6jpu
Numerical simulations of elastic capsules with nucleus in shear flow
2017
European Journal of Computational Mechanics
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2017 pre-print arXiv:1705.09338v1 fatcat:wwnok2fuqrbphppba5r2ywfbem
The shear-induced deformation of a capsule with a stiff nucleus, a model of eukaryotic cells, is studied numerically. ...
The numerical approach is presented and validated for the case of a single capsule in a shear flow. ...
Lailai Zhu is thanked for the help with the implementation of the membrane module. ...
doi:10.1080/17797179.2017.1294828
fatcat:5zddsrcvy5dtnpoem3xly6bkbe
Emotion Recognition with Capsule Neural Network
2022
Computer systems science and engineering
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Following the convolutional neural network, a capsule neural network (CapsNet) with inputs and outputs that are not scalar quantities but vectors allows the network to determine the part-whole relationships ...
The feature parameters of the recognition system input are mel spectrum images along with the characteristics of the sound source, vocal tract and prosody. ...
Next, the capsule layer applies a transformation matrix W ij with shape 8 × 16 to convert the 8-D capsule from the output of the primary capsule layer to a 16-D capsule for one of four emotions. ...
doi:10.32604/csse.2022.021635
fatcat:odikrqtbovhc3kerlqyw3vgxta
Diagnosing of Diabetic Retinopathy with Image Dehazing and Capsule Network
[chapter]
2020
Studies in Computational Intelligence
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In this chapter, the diagnosis of DR was solved that time with the Capsule Network, which is called also as CapsNet briefly. ...
Classification The classification approach for diagnosing DR in this study was done with the Capsule Network (CapsNet), which is an effective, recent deep learning techniques. ...
doi:10.1007/978-981-15-6325-6_9
fatcat:3ax46niwkfduzhovexgfkbdbyy
Numerical study on dynamic sorting of a compliant capsule with a thin shell
2015
Computers & Fluids
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By taking advantage of the rotating of capsules in shear flow, a simple distinguished bifurcated microchannel is proposed to sort capsules with different rigidities. ...
One is the motion of a compliant capsule in a channel and the other is the deformation of a capsule inside a simple shear flow. The results are quantitatively consistent with those in literature. ...
As showed in Fig. 5 , the capsule is placed in the center of the computational domain, which is L Â H ¼ 20D Â 20D and D ¼ 40 lu. ...
doi:10.1016/j.compfluid.2015.02.021
fatcat:6t4bolocujdnznqnrs3c6aiqwi
Face Spoof Attack Detection with Hypergraph Capsule Convolutional Neural Networks
2021
International Journal of Computational Intelligence Systems
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Existing methods try to detect such attacks with different features. Among them, using color images become popular since it is flexible and generic. ...
The proposed feature representation is compared with existing features for face spoof attack detection and experimental results on two commonly used datasets emphasize the effectiveness of HGC-CNN. ...
Then, DE and DV can be computed by DE e = N ∑ v=1 H(v, e), (14) and DV v = ∑ Ω u where H(u, e) = 1. (15) With the hyper edge weighting matrix, the multi-feature hypergraph Laplacian can be computed by ...
doi:10.2991/ijcis.d.210419.003
fatcat:dccocrdjxramtaek3k73c2yafi
Mathematical modeling of forest fire extinguishing using water capsules with a thermoactive shell
2020
Computational Continuum Mechanics
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Loshchilov 1 The paper proposes a new mathematical model of the process of extinguishing a forest fire with dispersed water delivered to the fire source with water capsules with a thermoactive shell. ...
When moving in a medium with a temperature above the critical, the capsule shell accumulates the integral value of the damage with the intensity proportional to the distance traveled and the critical temperature ...
doi:10.7242/1999-6691/2020.13.3.26
fatcat:qbckrxquzrfmpfheuc6g3e2j2y
DeepCaps: Going Deeper With Capsule Networks
2019
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Capsule Network is a promising concept in deep learning, yet its true potential is not fully realized thus far, providing sub-par performance on several key benchmark datasets with complex data. ...
With DeepCaps, we surpass the state-of-the-art results in the capsule network domain on CIFAR10, SVHN and Fashion MNIST, while achieving a 68% reduction in the number of parameters. ...
As a result, we were able to go deeper with capsules using less computational complexity compared to Sabour et al. [19] . ...
doi:10.1109/cvpr.2019.01098
dblp:conf/cvpr/RajasegaranJJJS19
fatcat:lazlwrxbkbbdniy6q2bjre632i
Fashion Image Retrieval with Capsule Networks
2019
2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)
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In this study, we investigate in-shop clothing retrieval performance of densely-connected Capsule Networks with dynamic routing. ...
To achieve this, we propose Triplet-based design of Capsule Network architecture with two different feature extraction methods. ...
of the computational burdens are lightened. ...
doi:10.1109/iccvw.2019.00376
dblp:conf/iccvw/KinliOK19
fatcat:f7xjvjt2k5dmbgmigmum5cum4a
FACSCaps: Pose-Independent Facial Action Coding with Capsules
2018
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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FACSCaps models video frames using matrix capsules, where hierarchical pose relationships between face parts are built into internal representations. ...
Input to capsule j (denoted as x j ) is computed as follows: x j = i c ij W ij u i (2) where u i represents the output vector of capsule i, W ij represents the weight matrix between capsule i and capsule ...
Based on the degree of agreement between the capsules at the higher layer and layer below, coupling coefficients c ij between capsule i and capsule j are computed using the following routing softmax function ...
doi:10.1109/cvprw.2018.00287
pmid:30944768
pmcid:PMC6443417
fatcat:b2xqtp5wgfg5hb2vnswv6kacam
Attention enhanced capsule network for text classification by encoding syntactic dependency trees with graph convolutional neural network
2022
PeerJ Computer Science
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by capsule network at last. ...
Extensive experiments on five datasets demonstrate that our approach can effectively improve the performance of text classification compared with state-of-the-art methods. ...
Capsule network module. It is a capsule network with 5-layer. ...
doi:10.7717/peerj-cs.831
pmid:35111918
pmcid:PMC8771801
fatcat:tbpzdnni7zaedhcrr7yg2karti
Hierarchical Multi-label Classification of Text with Capsule Networks
2019
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop
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Capsule networks have been shown to demonstrate good performance on structured data in the area of visual inference. ...
In this paper we apply and compare simple shallow capsule networks for hierarchical multi-label text classification and show that they can perform superior to other neural networks, such as CNNs and LSTMs ...
The main benefit of capsules is their ability to encode information of each category separately by associating each capsule with one category. ...
doi:10.18653/v1/p19-2045
dblp:conf/acl/AlyRB19
fatcat:jtrwrqmj4bhrjjlw76bx54jryy
Small bowel enteroclysis with magnetic resonance imaging and computed tomography in patients with failed and uncertain passage of a patency capsule
2012
BMC Medical Imaging
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Methods: Seventy-five consecutive patients were identified with a delayed or unnoticed delivery of the test capsule. Seventy patients consented to participate and underwent MRE (44) or CTE (26). ...
Results: Lesions compatible with Crohns disease were shown by MRE in 5 patients, by CTE in one and by VCE in four, one of whom had lesions on MRE. ...
CT: Computed tomography; MRI: Magnetic resonance imaging; CTE: Computed tomography enteroclysis; MRE: Magnetic resonance enteroclysis; PC: Patency capsule; VCE: Video capsule enteroscopy; SB: Small bowel ...
doi:10.1186/1471-2342-12-3
pmid:22336074
pmcid:PMC3313890
fatcat:4nefvmvtp5eavgw2yvlnlkesui
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