Sparse L1-norm-based linear discriminant analysis
Sign Up to like & getrecommendations! Published in 2017 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-017-5193-9
Abstract: Linear discriminant analysis (LDA) is a well-known feature extraction method, which has been widely used for many pattern recognition problems. However, the objective function of conventional LDA is based on L2-norm, which makes LDA sensitive… read more here.
Keywords: sparse norm; norm based; linear discriminant; discriminant analysis ... See more keywords
Norm-based spontaneous categorization: Cultural norms shape meaning and memory.
Sign Up to like & getrecommendations! Published in 2019 at "Journal of personality and social psychology"
DOI: 10.1037/pspi0000188
Abstract: When cultures have different norms for the same situation, does culture affect memory by influencing the weight individuals assign to information or also by affecting the meaning of information itself, influencing memory via categorization? We… read more here.
Keywords: categorization; information; memory; based spontaneous ... See more keywords
Lp-norm-based successive denoising approach for hyperspectral images
Sign Up to like & getrecommendations! Published in 2023 at "Remote Sensing Letters"
DOI: 10.1080/2150704x.2023.2195567
Abstract: ABSTRACT Hyperspectral images (HSI) are essentially a data cube containing hundreds of stacked 2-D images collected over a set of adjacent spectral bands with the idea of obtaining a complete spectral information for each pixel… read more here.
Keywords: based successive; noise; norm based; hyperspectral images ... See more keywords
Norm-Based Behavior Regulating Technique for Multi-Agent in Complex Adaptive Systems
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DOI: 10.1109/access.2019.2939019
Abstract: In a complex adaptive system, norms are widely used to regulate agents’ behavior within a society in which the agents are not explicitly given the norms of different host systems, but instead detect and adapt… read more here.
Keywords: complex adaptive; norm based; based behavior; rate ... See more keywords
$L_p$ -Norm-Based Sparse Regularization Model for License Plate Deblurring
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DOI: 10.1109/access.2020.2969675
Abstract: We propose an $L_{p}$ -norm-based sparse regularization model for license plate deblurring, which is motivated by distinctive properties of license plate images. For the blurred images, general deblurring methods may restore a good overall visual… read more here.
Keywords: license plate; model; norm based; regularization model ... See more keywords
Lawson-Norm-Based Adaptive Filter for Channel Estimation and In-Car Echo Cancellation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2022.3145569
Abstract: We proposed a Lawson-norm-based adaptive estimation algorithm within the affine-project theory framework and give a name of Lawson-norm adaptive filter (LNAF) algorithm. The LNAF algorithm is derived, analyzed, and simulated for echo cancellation when background… read more here.
Keywords: norm based; lawson norm; based adaptive; echo cancellation ... See more keywords
Frobenius Norm-Based Unbiased Finite Impulse Response Fusion Filtering for Wireless Sensor Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2021.3055172
Abstract: This article presents a new approach to designing the Frobenius norm-based weighted unbiased finite impulse response (FIR) fusion filter for wireless sensor networks. The weighted Frobenius norm is employed as a cost function to design… read more here.
Keywords: fusion; unbiased finite; norm based; filter ... See more keywords
L1 norm based pedestrian detection using video analytics technique
Sign Up to like & getrecommendations! Published in 2020 at "Computational Intelligence"
DOI: 10.1111/coin.12292
Abstract: Pedestrian detection from images of the visible spectrum is a high relevant area of research given its potential impact in the design of pedestrian protection systems. In general, detection is made with two different phases,… read more here.
Keywords: detection; norm based; feature extraction; pedestrian detection ... See more keywords
Projected Retained Ability Score (PRAS): A New Methodology for Quantifying Absolute Change in Norm-Based Psychological Test Scores Over Time
Sign Up to like & getrecommendations! Published in 2019 at "Assessment"
DOI: 10.1177/1073191119872250
Abstract: A limitation of norm-based ability test scores is that they can only be used to evaluate relative change (compared with change in the norm sample), as opposed to absolute (raw) change in performance from Time… read more here.
Keywords: methodology; change; time; ability ... See more keywords