Results 21 to 30 of about 106,135 (262)
A progressive decay Mixup data augmentation for long-tailed image classification [PDF]
PeerJ Computer ScienceImage classification with long-tailed distribution (i.e., a few classes occupy most of the training samples, while most classes have only a small number of representations) is a challenging visual task at present.
Hongyin Li +4 more
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M@ppemonde, 2023 Invented in 1964 in Finistère (Brittany), sea classes are still very popular locally. Goying beyond the educational sphere, this program has received support from local tourism and political actors.
Fabien Clouette, Emmanuelle Peyvel
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Performance comparison of model selection criteria by generated experimental data
ITM Web of Conferences, 2018 In Bioinformatics and other areas the model selection is a process of choosing a model from set of candidate models of different classes which will provide the best balance between goodness of fitting of the data and complexity of the model.
Mavrevski Radoslav +3 more
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Relative influence of genetics and shared environment on child mental health symptoms depends on comorbidity. [PDF]
PLoS ONE, 2014 Comorbidity among childhood mental health symptoms is common in clinical and community samples and should be accounted for when investigating etiology.
Matthew K Vendlinski +6 more
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ANALYZING THE SHAPE CHARACTERISTICS OF LAND USE CLASSES IN REMOTE SENSING IMAGERY [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 Shape is an important aspect of spatial attributes of land use segments in remotely sensed imagery, but it is still rarely used as a component in land use classification or image-based land use analysis.
L. Jiao, Y. Liu
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Irish Mathematical Society Bulletin, 1988 These two papers [see also the following item Zbl 0667.20016] are both about Fitting Class theory. A class \({\mathcal F}\) of finite groups is called a Fitting Class if it satisfies two properties, i) if \(G\in {\mathcal F}\) and H is a normal subgroup of G then \(H\in {\mathcal F}\) and ii) if G is a finite group and H and K are both normal subgroups
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Transfer Feature Generating Networks With Semantic Classes Structure for Zero-Shot Learning
IEEE Access, 2019 Feature generating networks face a very important issue, which is the fitting difference (inconsistency) of the distribution between the generated feature and the real data.
Guangfeng Lin +4 more
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Satellite Imagery-Based Cloud Classification Using Deep Learning
Remote Sensing, 2023 A significant amount of satellite imaging data is now easily available due to the continued development of remote sensing (RS) technology. Enabling the successful application of RS in real-world settings requires efficient and scalable solutions to ...
Rukhsar Yousaf +7 more
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ECG Beat classification: Impact of linear dependent samples
Current Directions in Biomedical Engineering, 2023 The Electro Cardio Gram (ECG) is a very valuable clinical tool to access the electric function of the heart. It provides insight into the different phases of the heart beat and various kinds of disorders which may affect them. In literature the impact of
Hintermüller Christoph +3 more
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Lietuvos Matematikos Rinkinys, 2010 In the paper diagnostic test creation model proposed earlier by authors is applied for creation of the test designed to esimate aerobic capacity of VGTU students.
Natalja Kosareva +3 more
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