Results 41 to 50 of about 2,111 (181)
Tracking analysis of minimum kernel risk-sensitive loss algorithm under general non-Gaussian noise [PDF]
, 2018 In this paper the steady-state tracking performance of minimum kernel risk-sensitive loss (MKRSL) in a non-stationary environment is analyzed. In order to model a non-stationary environment, a first-order random-walk model is used to describe the ...
Bazzi, WM +4 more
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Density Preserving Sampling: Robust and Efficient Alternative to Cross-validation for Error Estimation [PDF]
, 2013 Estimation of the generalization ability of a classi- fication or regression model is an important issue, as it indicates the expected performance on previously unseen data and is also used for model selection.
Budka, Marcin, Gabrys, Bogdan
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Structure Preserving Large Imagery Reconstruction [PDF]
, 2014 With the explosive growth of web-based cameras and mobile devices, billions of photographs are uploaded to the internet. We can trivially collect a huge number of photo streams for various goals, such as image clustering, 3D scene reconstruction, and ...
Hitz, Markus +4 more
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Robust Motion Averaging under Maximum Correntropy Criterion [PDF]
2021 IEEE International Conference on Robotics and Automation (ICRA), 2021 Recently, the motion averaging method has been introduced as an effective means to solve the multi-view registration problem. This method aims to recover global motions from a set of relative motions, where the original method is sensitive to outliers due to using the Frobenius norm error in the optimization.
Jihua Zhu +5 more
openaire +1 more source
Classification of Systematic Measurement Errors within the Framework of Robust Data Reconciliation [PDF]
, 2017 A robust data reconciliation strategy provides unbiased variable estimates in the presence of a moderate quantity of atypical measurements. However, estimates get worse if systematic measurement errors that persist in time (e.g., biases and drifts) are ...
Llanos, Claudia Elizabeth +2 more
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Clustering as an example of optimizing arbitrarily chosen objective functions [PDF]
, 2013 This paper is a reflection upon a common practice of solving various types of learning problems by optimizing arbitrarily chosen criteria in the hope that they are well correlated with the criterion actually used for assessment of the results. This issue
Budka, Marcin
core +1 more source
Information, 2023 This paper addresses the multi-sensor fusion target tracking problem based on maximum mixture correntropy in non-Gaussian noise environments exclusively using Doppler measurements.
Changyu Yi, Minzhe Li, Shuyi Li
doaj +1 more source
Period Estimation in Astronomical Time Series Using Slotted Correntropy
, 2011 In this letter, we propose a method for period estimation in light curves from periodic variable stars using correntropy. Light curves are astronomical time series of stellar brightness over time, and are characterized as being noisy and unevenly sampled.
Estévez, Pablo A. +4 more
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Correntropy Maximization via ADMM - Application to Robust Hyperspectral Unmixing
, 2016 In hyperspectral images, some spectral bands suffer from low signal-to-noise ratio due to noisy acquisition and atmospheric effects, thus requiring robust techniques for the unmixing problem.
Chen, Badong +4 more
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NTIRE 2020 Challenge on NonHomogeneous Dehazing
, 2020 This paper reviews the NTIRE 2020 Challenge on NonHomogeneous Dehazing of images (restoration of rich details in hazy image). We focus on the proposed solutions and their results evaluated on NH-Haze, a novel dataset consisting of 55 pairs of real haze ...
Ancuti, Codruta O. +51 more
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