Results 51 to 60 of about 1,737,261 (319)
Class Balanced Loss for Image Classification
IEEE Access, 2020 In the study of image classification, neural network learning relies heavily on datasets. Due to variability in the difficulty of collecting images in reality, datasets tend to have class imbalance problems, which undoubtedly increases the difficulty of ...
Lin Wang +4 more
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Frontiers in Neurology, 2021 We describe a rare case of posterior semicircular canal (PSC) fibrosis following acute labyrinthine ischemia in the territory supplied by the common cochlear artery (CCA) and review the relevant literature.
Andrea Castellucci +14 more
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MOON: A Mixed Objective Optimization Network for the Recognition of Facial Attributes
, 2016 Attribute recognition, particularly facial, extracts many labels for each image. While some multi-task vision problems can be decomposed into separate tasks and stages, e.g., training independent models for each task, for a growing set of problems joint ...
A Dutta +8 more
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Rapid solution of problems by nuclear-magnetic-resonance quantum computation [PDF]
, 2000 We offer an improved method for using a nuclear-magnetic-resonance quantum computer (NMRQC) to solve the Deutsch-Jozsa problem. Two known obstacles to the application of the NMRQC are exponential diminishment of density-matrix elements with the number of
A. Barenco +21 more
core +2 more sources
Mathematics, 2020 Using progressive first-failure censored samples, we mainly study the inferences of the unknown parameters and the reliability and failure functions of the Inverted Exponentiated Half-Logistic distribution.
Fengshi Zhang, Wenhao Gui
doaj +1 more source
Tversky loss function for image segmentation using 3D fully convolutional deep networks
, 2017 Fully convolutional deep neural networks carry out excellent potential for fast and accurate image segmentation. One of the main challenges in training these networks is data imbalance, which is particularly problematic in medical imaging applications ...
A Tversky +13 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Metabolic syndrome (MetS) is a common complication in survivors of childhood acute lymphoblastic and myeloid leukemia (AL), and a major risk factor for premature cardiovascular disease, type‐2‐diabetes, and metabolic dysfunction‐associated steatotic liver disease (MASLD).
Visentin Sandrine +10 more
wiley +1 more source
How to Balance Privacy and Money through Pricing Mechanism in Personal Data Market
, 2018 A personal data market is a platform including three participants: data owners (individuals), data buyers and market maker. Data owners who provide personal data are compensated according to their privacy loss.
Nget, Rachana +2 more
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Admissibility results under some balanced loss functions for a functional regression model
Comptes Rendus. Mathématique, 2019 We consider the problem of the nonparametric estimation in a functional regression model Y=r(X)+ε, with Y a real random variable response and X representing a functional variable taking values in a semi-metric space. The aim of this note is to find conditions of admissibility of Stein-type estimators of such a model under a class of balanced loss ...
Djerfi, Kouider +2 more
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On continuous distribution functions, minimax and best invariant estimators, and integrated balanced loss functions [PDF]
Canadian Journal of Statistics, 2014 AbstractWe consider the problem of estimating a continuous distribution function F, as well as meaningful functions under a large class of loss functions. We obtain best invariant estimators and establish their minimaxity for Hölder continuous ’s and strict bowl‐shaped losses with a bounded derivative.
Jozani, Mohammad Jafari +2 more
openaire +3 more sources