Results 31 to 40 of about 322,902 (281)
Sensors, 2022 Aiming at the problems of low fault diagnosis accuracy caused by insufficient samples and unbalanced data sample distribution in bearing fault diagnosis, this paper proposes a fault diagnosis method for rolling bearings referencing conditional deep ...
Cheng Peng, Shuting Zhang, Changyun Li
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Remote Sensing Target Tracking in UAV Aerial Video Based on Saliency Enhanced MDnet
IEEE Access, 2019 Remote sensing target tracking in the aerial video from unmanned aerial vehicles (UAV) plays a key role in public security. As the UAV aerial video has rapid changes in scale and perspective, few pixels in the target region, and multiple similar ...
Fukun Bi +3 more
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FMix: Enhancing Mixed Sample Data Augmentation
, 2020 Code available at https://github.com/ecs-vlc ...
Harris, Ethan +5 more
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Cotton Fusarium wilt diagnosis based on generative adversarial networks in small samples
Frontiers in Plant Science, 2023 This study aimed to explore the feasibility of applying Generative Adversarial Networks (GANs) for the diagnosis of Verticillium wilt disease in cotton and compared it with traditional data augmentation methods and transfer learning. By designing a model
Zhenghang Zhang +12 more
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Augmenting sampling based controllers with machine learning [PDF]
Proceedings of the ACM SIGGRAPH / Eurographics Symposium on Computer Animation, 2017 Efficient learning of 3D character control still remains an open problem despite of the remarkable recent advances in the field. We propose a new algorithm that combines planning by a sampling-based model-predictive controller and learning from the planned control, which is very noisy.
Hämäläinen, Perttu, Rajamäki, Joose
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Smart Augmentation - Learning an Optimal Data Augmentation Strategy [PDF]
, 2017 A recurring problem faced when training neural networks is that there is typically not enough data to maximize the generalization capability of deep neural networks(DNN).
Bazrafkan, Shabab +2 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingCollaborative representation (CR) models have been widely used in hyperspectral image (HSI) classification tasks. However, most CR classification models lack stability and generalization when targeting small samples as well as spatial homogeneity and ...
Hongjun Su +3 more
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Discounting and Augmentation of Dispositional and Causal Attributions
Psychologica Belgica, 2006 This article investigates whether and how discounting and augmentation of dispositional and causal attributions differ between each other. In three experiments, the strength of a causal or dispositional attribution to a target actor (or object) was ...
Frank Van Overwalle
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The Impact of Experiential Augmented Reality Applications on Fashion Purchase Intention [PDF]
, 2018 Utilizing the stimulus-organism-response (SOR) model, the purpose of this study is to examine the effects of augmented reality (AR) (specifically augmentation) on consumers’ affective and behavioral response and to assess whether consumers’ hedonic ...
Alexander, Bethan +2 more
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Bayesian logistic regression for presence-only data [PDF]
, 2015 Presence-only data are referred to situations in which a censoring mechanism acts on a binary response which can be partially observed only with respect to one outcome, usually denoting the \textit{presence} of an attribute of interest. A typical example
Antti Pettinen +3 more
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