Results 41 to 50 of about 1,489 (178)
Cognitive Computation and Systems, 2022 Aiming at meetiing the need to filtering flight trajectory data for aircraft testing, a novel adaptive cubature Kalman filter (CKF) is proposed based on the maximum correntropy and Gaussian‐sum in this paper.
Jing G. Bai +4 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
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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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Unbiased converted measurement manoeuvering target tracking under maximum correntropy criterion
Cognitive Computation and Systems, 2020 In this study, the manoeuvering target tracking problem is addressed by using the unbiased converted measurements from a two-dimensional radar system.
Guoyong Wang, Xiaoliang Feng
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Rotationally Invariant Image Representation for Viewing Direction Classification in Cryo-EM [PDF]
, 2014 We introduce a new rotationally invariant viewing angle classification method for identifying, among a large number of Cryo-EM projection images, similar views without prior knowledge of the molecule.
Singer, Amit, Zhao, Zhizhen
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Robust Motion Averaging under Maximum Correntropy Criterion
, 2020 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.
Zhu, Jihua +4 more
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A Robust Adaptive Filter for a Complex Hammerstein System
Entropy, 2019 The Hammerstein adaptive filter using maximum correntropy criterion (MCC) has been shown to be more robust to outliers than the ones using the traditional mean square error (MSE) criterion. As there is no report on the robust Hammerstein adaptive filters
Guobing Qian, Dan Luo, Shiyuan Wang
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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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Minimizing Supervision in Multi-label Categorization
, 2020 Multiple categories of objects are present in most images. Treating this as a multi-class classification is not justified. We treat this as a multi-label classification problem.
Namboodiri, Vinay P. +3 more
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Maximum correntropy criterion based regression for multivariate calibration [PDF]
Chemometrics and Intelligent Laboratory Systems, 2017 Abstract The least-squares criterion is widely used in the multivariate calibration models. Rather than using the conventional linear least-squares metric, we employ a nonlinear correntropy-based metric to describe the spectra-concentrate relations and propose a maximum correntropy criterion based regression (MCCR) model.
Jiangtao Peng +4 more
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