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Complementary multiplicative hyperrings

Rita Procesi, Rosaria Rota
2008 Discrete Mathematics  
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]

Siqing Zhang, Ruoyi Du, Dongliang Chang, Zhanyu Ma, Jun Guo
2020 arXiv   pre-print
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]

Iddo Hanniel, Gershon Elber
2006 Lecture Notes in Computer Science  
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]

Pingping Zhang, Huchuan Lu, Chunhua Shen
2018 arXiv   pre-print
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

Livia Matida Gontijo, Marcela Baraldi Moreira, Vanessa de Sousa Mançano, Stephanie Langen
2018 Journal of Dermatology & Cosmetology  
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]

Mohammad Adiban, Arash Safari, Giampiero Salvi
2020 arXiv   pre-print
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  
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]

Linjiang Huang, Liang Wang, Hongsheng Li
2021 arXiv   pre-print
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

Elisa Cinotti, Luca Provvidenziale, Michele Fimiani, Jean Perrot, Frederic Cambazard, Pietro Rubegni
2018 Diseases  
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

D. Shen, J.B. Cruz
2005 IEEE Transactions on Neural Networks  
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?

Khaled Aly Matrawy, Abdel Aziz El-Nekeidy, Heba Gaber El-Sheridy
2013 The Egyptian Journal of Radiology and Nuclear Medicine  
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

Yang Xiao, Jianxin Wu, Junsong Yuan
2014 IEEE Transactions on Image Processing  
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]

Yingying Zhu, Xiaofeng Zhu, Minjeong Kim, Daniel Kaufer, Guorong Wu
2017 Lecture Notes in Computer Science  
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

J. Nairoukh, G. Trianni, P. Gamba, F. Dell'Acqua, A. Plaza
2008 IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium  
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]

Pei Dong, Yangrong Guo, Yue Gao, Peipeng Liang, Yonghong Shi, Qian Wang, Dinggang Shen, Guorong Wu
2016 Lecture Notes in Computer Science  
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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