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Complementary multiplicative hyperrings
2008
Discrete Mathematics
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In this paper the complementary hyperstructure obtained from a multiplicative hyperring is considered. ...
Furthermore a characterization for such hyperstructures obtained starting from a strongly distributive multiplicative hyperring is given. ...
Properties and examples If (A, +, •) is a multiplicative hyperring we can consider its complementary hyperstructure (A, +, • ) and study the conditions under which this is a multiplicative hyperring. ...
doi:10.1016/j.disc.2006.11.032
fatcat:byzzlmbm2bdidovequg5w2bzbu
Knowledge Transfer Based Fine-grained Visual Classification
[article]
2020
arXiv
pre-print
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Finally, all models' outputs with complementary knowledge are combined together for the final prediction result. ...
Multiple models are trained one by one, and all previously trained models are regarded as teacher models to supervise the training of the current one. ...
To address this limitation, in this paper, we train multiple networks in sequence with different concentrations that provide complementary knowledge during inference. ...
arXiv:2012.11389v1
fatcat:dph3lkaoirafpodumuiuezzoa4
Subdivision Termination Criteria in Subdivision Multivariate Solvers
[chapter]
2006
Lecture Notes in Computer Science
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hyper-sphere. ...
Further, we also offer a second termination criterion, based on the representation of bounding parallel hyper-plane pairs, to identify and reject sub-domains that contain no solution. ...
For an implicit hyper-surface F i (u) = 0, we define its normal cone Figure 1 (a)) as the set of all possible normal vectors, ∇F i (u), and their scalar multiples. ...
doi:10.1007/11802914_9
fatcat:ibuac6thprhqddjnrcotcmtnhe
HyperFusion-Net: Densely Reflective Fusion for Salient Object Detection
[article]
2018
arXiv
pre-print
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Then, the complementary information of reflective image pairs is jointly extracted by an interweaved convolutional neural network (ICNN) and hierarchically combined with a hyper-dense fusion mechanism. ...
Afterwards, the hyper-fusion branch hierarchically integrates the complementary features into the same resolution of input images. ...
The complementary features of reflective image pairs are jointly extracted by the proposed ICNN and hierarchically combined with a hyper-dense fusion mechanism. ...
arXiv:1804.05142v1
fatcat:ar64ffxpqvegrascrc5y3ygwz4
Dowling-Degos disease: a rare genodermatosis
2018
Journal of Dermatology & Cosmetology
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In the present report, there is a case of the disease that affects 41-yearold female patients, with multiple clinical complications of the disease. Citation: Gontijo LM, Moreira MB, Mançano VS,et al. ...
Brazil Correspondence: Livia Matida Gontijo, Resident of the second year of the Pontificate, Catholic Abstract Dowling Degos disease (DDD) is a rare, autosomal dominant genodermatosis, characterized by multiple ...
There is no need for another complementary examination for the diagnosis aid. ...
doi:10.15406/jdc.2018.02.00053
fatcat:w5h2bjcd3fctrlde6m6xi6qo4q
STEP-GAN: A Step-by-Step Training for Multi Generator GANs with application to Cyber Security in Power Systems
[article]
2020
arXiv
pre-print
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Our model simulates possible attacks on power systems using multiple generators in a step-by-step interaction with a discriminator in the training phase. ...
Similar to regular GAN, the OCAN uses one generator and a complementary discriminator. However, MAD-GAN uses multiple generators and one discriminator. ...
To train our system, similarly to regular GANs, we apply prior input noise z ∼ pz to the multiple generators. ...
arXiv:2009.05184v1
fatcat:exh5b336qffffdwa354hj3jvju
Page 2573 of Mathematical Reviews Vol. , Issue 95e
[page]
1995
Mathematical Reviews
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These properties are studied for hyper- graphs in connection with their coverings. B. Zelinka (Liberec)
95e:05090 05C65 28E15
Ovchinnikov, Peter G. [Ovchinnikov, P. G.] ...
It is shown that every two nonempty graphs have a greatest common divisor and least common multiple. ...
Foreground-Action Consistency Network for Weakly Supervised Temporal Action Localization
[article]
2021
arXiv
pre-print
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Besides, the class-agnostic attention branch and multiple instance learning branch are adopted to regularize the foreground-action consistency and help to learn a meaningful foreground classifier. ...
Within each branch, we introduce a hybrid attention mechanism, which calculates multiple attention scores for each snippet, to focus on both discriminative and less-discriminative snippets to capture the ...
Complementary role of the CW branch. ...
arXiv:2108.06524v1
fatcat:uausrhcofvaaxioqtydyzji4gy
Role of Handheld In Vivo Reflectance Confocal Microscopy for the Diagnosis of Fabry Disease: A Case Report
2018
Diseases
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Multiple AKs are one of the main signs of FD. ...
RCM could be helpful as a complementary tool even for the follow-ups of these patients (other parameters should be monitored including plasma Lyso-Gb3, renal and cardiac functions, skin, kidneys, and heart ...
doi:10.3390/diseases6030055
pmid:29954050
fatcat:znmicwp4ezfv5bz45qdr5bs6ju
Encoding Strategy for Maximum Noise Tolerance Bidirectional Associative Memory
2005
IEEE Transactions on Neural Networks
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in bipolar mode, the complementary value of ( ) is ( ); in binary mode, the complementary value of 1(0) is 0 (1)) for the input pattern
Fig. 2 .Fig. 3 .Fig. 4 . 234 Fig. 2. ...
These are multiple training methods, which guarantee the recall of all training pairs [3] . ...
Intuitively, this can increase the probability of finding a larger maximum noise tolerance set due to an increased energy well hyper-radius upper bound. ...
doi:10.1109/tnn.2004.841793
pmid:15787137
fatcat:jfcrw7prrbgsbab7eubjnqgffy
Atypical hemangioma and malignant lesions of spine: Can diffusion weighted Magnetic Resonance Imaging help to differentiate?
2013
The Egyptian Journal of Radiology and Nuclear Medicine
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Complementary non contrast CT was also done. Results: Atypical hemangioma and malignant lesions were low in T1 and high in T2 WI. ...
Complementary CT revealed the lytic nature of malignant lesions while in hemangiomas, it showed their characteristic striated appearance. ...
Hemangiomas may be single or multiple, and they are being recognized with increasing frequency on magnetic resonance images. ...
doi:10.1016/j.ejrnm.2013.03.001
fatcat:h4jii4s3wnhebe6whmkwcuy2qy
mCENTRIST: A Multi-Channel Feature Generation Mechanism for Scene Categorization
2014
IEEE Transactions on Image Processing
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Experiments also verify that the hyper opponent color space enhances descriptors' performance effectively. ...
Index Terms-Scene categorization, multi-channel descriptor, CENTRIST, channel interaction, hyper opponent color space. ...
That is, it may provide complementary information. ...
doi:10.1109/tip.2013.2295756
pmid:26270921
fatcat:yrfidx7ncnebvppr7r76tgqgbi
A Novel Dynamic Hyper-graph Inference Framework for Computer Assisted Diagnosis of Neuro-Diseases
[chapter]
2017
Lecture Notes in Computer Science
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However, current hyper-graph methods are re-strained with two major limitations: (1) The data representation encoded in the hyper-graph is learned only from the observed imaging features for each modality ...
To overcome these limitations, we propose a novel dynamic hyper-graph inference frame-work. ...
Conclusions In this work, we proposed a dynamic hyper-graph method for joint learning, classification, and regression on multiple classification problems (MCI/NC/AD) using multiple modal imaging data. ...
doi:10.1007/978-3-319-59050-9_13
pmid:30245556
pmcid:PMC6150469
fatcat:nn6nzm3v2jeq5dvr2wkkptksmi
Towards the Definition of a Flexible Hyperspectral Processing Chain: Preliminary Case Study Using High-Resolution Urban Data
2008
IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium
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Each chain is then thoroughly evaluated using hyperspectral data sets collected at multiple spatial and spectral resolutions by the DAIS 7915 and ROSIS imaging spectrometers over a wellknown urban area ...
efficient hyperspectral data processing can be a really complex procedure, we approach this problem in the context of a multidisciplinary collaboration so that the proposed activity can benefit from the complementary ...
Each chain is then thoroughly evaluated using hyperspectral data sets collected at multiple spatial and spectral resolutions by the DAIS 7915 and ROSIS imaging spectrometers over a wellknown urban area ...
doi:10.1109/igarss.2008.4779165
dblp:conf/igarss/NairoukhTGDP08
fatcat:ha6mfey4nvezvjmqdb3lalzvla
Multi-Atlas Based Segmentation of Brainstem Nuclei from MR Images by Deep Hyper-Graph Learning
[chapter]
2016
Lecture Notes in Computer Science
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To address this challenge, we propose a novel multi-atlas brainstem nuclei segmentation method using deep hyper-graph learning. Specifically, we achieve this goal in three-fold. ...
Since the context features are calculated on a tentatively estimated label probability map, we eventually turn our hyper-graph learning based label propagation into a deep and self-refining model. ...
relationship on a hyper-edge by linking multiple vertices [6] . ...
doi:10.1007/978-3-319-47118-1_7
pmid:29594262
pmcid:PMC5868975
fatcat:itixnewos5d2hfn2npyjwbaqru
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