Results 251 to 260 of about 322,902 (281)

Learning Sample-Specific Policies for Sequential Image Augmentation

Proceedings of the 29th ACM International Conference on Multimedia, 2021
This paper presents a policy-driven sequential image augmentation approach for image-related tasks. Our approach applies a sequence of image transformations (e.g., translation, rotation) over a training image, one transformation at a time, with the augmented image from the previous time step treated as the input for the next transformation.
Pu Li, Xiaobai Liu, Xiaohui Xie
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The Method of Augmented Sampling

Applied Statistics, 1968
In this paper we present a new sampling scheme called the method of augmented sampling. The scheme is essentially a two sample procedure and is useful in surveys where all except one of the variates are similarly distributed and the distribution of the single variate differs markedly from the others.
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Augmented Leverage Score Sampling with Bounds

2016
We introduce a modification to the well studied leverage score sampling algorithm which takes into account data scale, called the augmented leverage score, and introduce an initial error bound proof for the case of deterministic sampling – which to our knowledge is the first bound for this augmented leverage score.
Daniel J. Perry, Ross T. Whitaker
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SelectAugment: Hierarchical Deterministic Sample Selection for Data Augmentation

Proceedings of the AAAI Conference on Artificial Intelligence, 2023
Data augmentation (DA) has been extensively studied to facilitate model optimization in many tasks. Prior DA works focus on designing augmentation operations themselves, while leaving selecting suitable samples for augmentation out of consideration. This might incur visual ambiguities and further induce training biases.
Shiqi Lin, Zhizheng Zhang, Xin Li, Zhibo Chen   +3 more
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Extended Communication Samples of Augmented Communicators II

Journal of Speech and Hearing Disorders, 1990
The three primary purposes of this project are (a) to identify those word sequences that occur frequently across a group of 10 linguistically intact augmented communicators, (b) to determine the communality with which the various augmented communicators use specific word sequences, and (c) to evaluate the usefulness of word sequences in providing ...
K M, Yorkston, D R, Beukelman, K, Smith, R, Tice   +3 more
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Artificially Augmented Samples, Shrinkage, and Mean Squared Error Reduction*

Journal of the American Statistical Association, 2005
An inequality is provided that determines when shrinkage reduces the mean squared error (MSE) of an unbiased estimate. Artificially augmented samples are then used to obtain, among others, shrinkage estimates of the population's variance and covariance, which improve the unbiased estimates for all parameter values and for all probability models with ...
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Prototype Augmentation with Dummy Samples

2022 26th International Conference on Pattern Recognition (ICPR), 2022
Hong Yu, Fanzhang Li
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Fitting binary regression models with case-augmented samples

Biometrika, 2006
SUMMARY In a case-augmented study, measurements on a random sample from a population are augmented by information from an independent sample of cases, that is units with some characteristic of interest. We show that inferences about the effect of the covariates on the probability of being a case can be made by fitting a modified prospective likelihood.
A. J. Lee, A. J. Scott, C. J. Wild
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Integrative oncology: Addressing the global challenges of cancer prevention and treatment

Ca-A Cancer Journal for Clinicians, 2022
Jun J Mao,, Msce, Lorenzo Cohen, Karen M Mustian   +2 more
exaly  

Augmented Reality Guided Aerodynamic Sampling

AIAA SCITECH 2024 Forum
Julian M. Humml, Victor Cohen, Fernando Perez-Cruz, Morteza Gharib, Thomas Rösgen   +4 more
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