Results 11 to 20 of about 3,902,266 (287)
Enlarge the training set based on inter-class relationship for face recognition from one image per person. [PDF]
PLoS ONE, 2013 In some large-scale face recognition task, such as driver license identification and law enforcement, the training set only contains one image per person. This situation is referred to as one sample problem.
Qin Li +4 more
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Fukunaga-Koontz transform for small sample size problems [PDF]
IEE Irish Signals and Systems Conference 2005, 2005 In this paper, we propose the Fukunaga-Koontz Trans- form (FKT) as applied to Small-Sample Size (SSS) problems and formulate a feature scatter matrix based equivalent of the FKT. We establish the classical Linear Discriminant Analysis (LDA) analogy of the FKT and apply it to a SSS situation.
Miranda, Abhilash A., Whelan, Paul F.
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Research on a small sample fault diagnosis method for a high-pressure common rail system
Advances in Mechanical Engineering, 2021 In the fault diagnosis of high-pressure common rail diesel engines, it is often necessary to face the problem of insufficient diagnostic training samples due to the high cost of obtaining fault samples or the difficulty of obtaining fault samples ...
Liangyu Li +3 more
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JoSDW: Combating Noisy Labels by Dynamic Weight
Future Internet, 2022 The real world is full of noisy labels that lead neural networks to perform poorly because deep neural networks (DNNs) are prone to overfitting label noise. Noise label training is a challenging problem relating to weakly supervised learning.
Yaojie Zhang +3 more
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Algorithms, 2019 Deep neural networks are successful learning tools for building nonlinear models. However, a robust deep learning-based classification model needs a large dataset. Indeed, these models are often unstable when they use small datasets. To solve this issue,
Mohammad Wedyan +2 more
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Sketch face recognition based on light semantic Transformer network
IET Computer Vision, 2023 Sketch face recognition has a wide range of applications in criminal investigation, but it remains a challenging task due to the small‐scale sample and the semantic deficiencies caused by cross‐modality differences.
Lin Cao +4 more
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An Exact and Near-Exact Distribution Approach to the Behrens–Fisher Problem
Mathematics, 2022 The Behrens–Fisher problem occurs when testing the equality of means of two normal distributions without the assumption that the two variances are equal.
Serim Hong +2 more
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Nash--Moser iteration and singular perturbations [PDF]
, 2011 We present a simple and easy-to-use Nash--Moser iteration theorem tailored for singular perturbation problems admitting a formal asymptotic expansion or other family of approximate solutions depending on a parameter $\eps\to 0.$ The novel feature is to ...
Texier, Benjamin, Zumbrun, Kevin
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Techniques to produce and evaluate realistic multivariate synthetic data
Scientific Reports, 2023 Data modeling requires a sufficient sample size for reproducibility. A small sample size can inhibit model evaluation. A synthetic data generation technique addressing this small sample size problem is evaluated: from the space of arbitrarily distributed
John Heine +4 more
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The nonparametric Behrens-Fisher problem in small samples
, 2022 While there appears to be a general consensus in the literature on the definition of the estimand and estimator associated with the Wilcoxon-Mann-Whitney test, it seems somewhat less clear as to how best to estimate the variance. In addition to the Wilcoxon-Mann-Whitney test, we review different proposals of variance estimators consistent under both ...
Nowak, Claus P. +2 more
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