Results 31 to 40 of about 37,640 (313)
On reducing the effect of covariate factors in gait recognition : a classifier ensemble method [PDF]
, 2015 Robust human gait recognition is challenging because of the presence of covariate factors such as carrying condition, clothing, walking surface, etc. In this paper, we model the effect of covariates as an unknown partial feature corruption problem. Since
Roli, Fabio, Guan, Yu, Li, Chang-Tsun
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Adaptive Subspace Method for Phase Noise Estimation in CO-OFDM Systems
IEEE Access, 2018 In this paper, a blind phase noise estimation method for a coherent optical orthogonal frequency-division multiplexing (CO-OFDM) system is considered. Based on the subspace approach, a simple and robust method is proposed to adaptively estimate and track
Muyiwa B. Balogun +2 more
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Optimized Method Based on Subspace Merging for Spectral Reflectance Recovery
Sensors, 2023 The similarity between samples is an important factor for spectral reflectance recovery. The current way of selecting samples after dividing dataset does not take subspace merging into account.
Yifan Xiong, Guangyuan Wu, Xiaozhou Li
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Speech Denoising in White Noise Based on Signal Subspace Low-rank Plus Sparse Decomposition
MATEC Web of Conferences, 2017 In this paper, a new subspace speech enhancement method using low-rank and sparse decomposition is presented. In the proposed method, we firstly structure the corrupted data as a Toeplitz matrix and estimate its effective rank for the underlying human ...
yuan Shuai, Sun Cheng-li
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Nihon Kikai Gakkai ronbunshu, 2015 The flatness of the metal thin plate shape is required in the production lines. Though, the convenient method for measuring small buckles of the thin plate has not been established. The tension distribution corresponding to the strain distribution occurs
Hirotoshi ARIHARA +2 more
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Robust gait recognition from extremely low frame-rate videos [PDF]
, 2013 In this paper, we propose a gait recognition method for extremely low frame-rate videos. Different from the popular temporal reconstruction-based methods, the proposed method uses the average gait over the whole sequence as input feature template ...
Choudhury, Sruti Das +2 more
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On data preprocessing for subspace methods
Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187), 2002 In modern data analysis often the first step is to perform some data preprocessing, e.g. detrending or elimination of periodic components of known period length. This is normally done using least squares regression. Only afterwards black box models are estimated using either pseudo-maximum-likelihood methods, prediction error methods or subspace ...
openaire +4 more sources
Tongxin xuebao, 2021 Considering the impact of high dimensional data redundancy and noise interference on multiview subspace clustering, a robust multiview subspace clustering method based on multi-kernel low redundancy representation learning was proposed.Firstly, by ...
Ao LI +5 more
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KRYLOV SUBSPACE METHODS FOR SOLVING LARGE LYAPUNOV EQUATIONS [PDF]
, 1994 Published ...
KASENALLY, EM, JAIMOUKHA, IM
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Comparison of Triply Periodic Minimal Surface Energy Absorbers Under Uniaxial Compressive Loading
Advanced Engineering Materials, EarlyView.This study investigates LCD 3D printed Triply Periodic Minimal Surface (TPMS) structures as mechanical energy absorbers. By comparing various base designs and layered combinations under uniaxial compression, it identifies that a Diamond‐Gyroid sandwich structure offers superior performance.
Sergej Grednev +2 more
wiley +1 more source