Results 51 to 60 of about 3,111 (174)

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., Huijse, Pablo, Protopapas, Pavlos, Príncipe, José, Zegers, Pablo   +4 more
core   +2 more sources

Filtering in Triplet Markov Chain Model in the Presence of Non-Gaussian Noise with Application to Target Tracking

Remote Sensing, 2023
In hidden Markov chain (HMC) models, widely used for target tracking, the process noise and measurement noise are in general assumed to be independent and Gaussian for mathematical simplicity.
Guanghua Zhang, Xiqian Zhang, Linghao Zeng, Shasha Dai, Mingyu Zhang, Feng Lian   +5 more
doaj   +1 more source

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, Halimi, Abderrahim, Honeine, Paul, Zheng, Nanning, Zhu, Fei   +4 more
core   +2 more sources

The correntropy MACE filter

Pattern Recognition, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Intel Corporation Mission College Blvd, Santa Clara, CA 95052, USA ( host institution ), Jeong, Kyu-Hwa, Liu, Weifeng, Han, Seungju, Hasanbelliu, Erion, Principe, Jose C.   +5 more
openaire   +3 more sources

Performance evaluation of the maximum complex correntropy criterion with adaptive kernel width update

EURASIP Journal on Advances in Signal Processing, 2019
The complex correntropy is a recently defined similarity measure that extends the advantages of conventional correntropy to complex-valued data. As in the real-valued case, the maximum complex correntropy criterion (MCCC) employs a free parameter called ...
Manoel B. L. Aquino, João P. F. Guimarães, Leandro L. S. Linhares, Aluísio I. R. Fontes, Allan M. Martins   +4 more
doaj   +1 more source

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., Ancuti, Cosmin, Chang, Jerome, Chang, Yu-Bang, Chao, Ju-Chin, Chen, Peng-Wen, Chen, Siyi, Cherukuri, Venkateswararao, Chuang, Shiue-Yuan, Das, Sourya Dipta, de Dravo, Vincent Whannou, Deng, Qili, Do, Jeonghyeok, Dong, Yu, Dutta, Saikat, Estrada, Dennis, Guo, Tiantong, Hsu, Po-Min, Huang, Ziling, Kim, Munchurl, Kong, Xiangzhen, Lee, David, Li, Xuelu, Liao, Tzu-Yi, Lin, Chang-Hong, Lin, Tsung-Nan, Liu, Jing, Ma, Lizhuang, Mandal, Murari, Mehra, Aryan, Metwaly, Kareem, Monga, Vishal, Narang, Pratik, Ouyang, Bing, Park, Jongmin, Qu, Yanyun, Raghunath, Navaneeth, Su, Tianqi, Sun, Bangyong, Sun, Chung-En, Timofte, Radu, Vasluianu, Florin-Alexandru, Wang, Meiqi, Wang, Zhan-Han, Wu, Haiyan, Wu, Pei-Yuan, Xie, Yuan, Yang, Tsung-Shan, Yu, Mingzhao, Yu, Zhe, Zhao, Xuan, Zhou, Hongyu   +51 more
core   +1 more source

Hyperparameter‐Free Maximum Versoria Criterion Based Channel‐State Acquisition for mmWave Hybrid MIMO With Hardware Impairments

IET Communications, Volume 20, Issue 1, January/December 2026.
This paper addresses channel estimation in mmWave (millimetre wave) hybrid MIMO (multiple‐input multiple‐output) systems impaired by residual transceiver hardware nonidealities, modelled as additive non‐Gaussian noise via Bussgang decomposition. A hyperparameter‐free maximum Versoria criterion (MVC)‐based channel estimator is proposed, featuring a ...
Rangeet Mitra, Sandesh Jain, K. Venkateswaran, Rajat Kumar, Vimal Bhatia, Ondrej Krejcar   +5 more
wiley   +1 more source

Image tag completion by local learning

, 2015
The problem of tag completion is to learn the missing tags of an image. In this paper, we propose to learn a tag scoring vector for each image by local linear learning.
F. Zhang, H.J. Xing, J. Hu, J.J.Y. Wang, J.J.Y. Wang, J.J.Y. Wang, L. Liu, L. Wu, S. Huang, S. Zhang, Y. Zhang, Z. Feng, Z. Li, Z. Lin, Z. Liu, Z. Zhang   +15 more
core   +1 more source

Robust Maximum Correntropy Kalman Filter

International Journal of Robust and Nonlinear Control
ABSTRACTThe Kalman filter provides an optimal estimation for a linear system with Gaussian noise. However, when the noises are non‐Gaussian in nature, its performance deteriorates rapidly. For non‐Gaussian noises, maximum correntropy Kalman filter (MCKF) is developed which provides a more accurate result.
Joydeb Saha, Shovan Bhaumik
openaire   +2 more sources

A Cooperative Adaptive Kalman Filter for Robust Terrain‐Referenced Navigation in Complex Environments

IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.
This paper introduces a Cooperative Adaptive Kalman Filter (CAKF) to prevent filter divergence in a Terrain‐Aided Navigation system by synergistically adapting its process noise (Q), measurement noise (R), and state covariance (P) based on vehicle manoeuvres and terrain quality.
Liyue Liang, Daojie Yu, Jianping Du, Yijie Bai, Tao Li, Jiale Zhou   +5 more
wiley   +1 more source