Results 51 to 60 of about 465,256 (146)

Specificities and sensitivities (defined as TN / (TN + FP) and FN / (FN + TP), respectively) by changing thresholds of 2D-PCA MSM and B-2D-PCA-R MSM.

, 2021
Specificities and sensitivities (defined as TN / (TN + FP) and FN / (FN + TP), respectively) by changing thresholds of 2D-PCA MSM and B-2D-PCA-R MSM.
Yumi Iwashita (11261748), Ryo Kurazume (9529108), Adrian Stoica (9297896), Hitoshi Sakano (11261751)   +3 more
core   +1 more source

Exemplar-Free Lifelong Hyperspectral Image Classification via Dual Constraints and Dynamic Margin Adaptation

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral image (HSI) lifelong classification aims to continuously recognize newly arriving classes while preserving previously acquired knowledge without full model retraining.
Jiyang Ma, Haiyang Luo, Shengke Sun, Shengwei Zhong   +3 more
doaj   +1 more source

PCA-based Feature Reduction for Hyperspectral Remote Sensing Image Classification

, 2021
The hyperspectral remote sensing images (HSIs) are acquired to encompass the essential information of land objects through contiguous narrow spectral wavelength bands.
MA Mamun (15370474), MD PALASH UDDIN (13098606), MA Hossain (9867158)   +2 more
core   +1 more source

Novel use of waste sawdust in green stormwater infrastructure (GSI)

Results in Engineering
As urban populations grow, finding appropriate strategies for managing waste and stormwater is becoming increasingly more challenging. While the incorporation of waste materials into concrete has been studied for structural components, the use of waste ...
Ebru Özer, Berrin Tansel
doaj   +1 more source

Heteroskedastic PCA: Algorithm, optimality, and applications [PDF]

Annals of Statistics, 2018
Principal component analysis (PCA) and singular value decomposition (SVD) are widely used in statistics, machine learning, and applied mathematics. It has been well studied in the case of homoskedastic noise, where the noise levels of the contamination ...
An-Ru R. Zhang, T. Cai, Yi-Hong Wu
semanticscholar   +1 more source

PCA-based dimensionality reduction for face recognition

, 2021
PCA-based dimensionality reduction for face ...
MI Afjal (15370294), MR Islam (9872390), MA Mamun (15370474), MA Marjan (15370279), MD PALASH UDDIN (13098606)   +4 more
core   +1 more source

Multivariate analysis of grain yield attributes and spot blotch incidence in wheat (Triticum aestivum L.) under sub-Himalayan agroclimatic condition

Electronic Journal of Plant Breeding
An Elite Spring Wheat Yield Trial (EWYT) was conducted with 50 diverse genotypes of Wheat (Triticum aestivum L.) and analyzed by multivariate analysis during 2018-19 rabi season. Correlation analysis revealed positive association of plant height, grains
Ponaganti Shiva Kishore1, Suvendu Kumar Roy1*, Saikat Das2, S. Vishnupriya1, Basid Ali1, Lakshmi Hijam1, Moumita Chakraborty1, Puspendu Dutta3, Rupsanatan Mandal4 and Sanghamitra Rout5
doaj   +1 more source

On the Applications of Robust PCA in Image and Video Processing

Proceedings of the IEEE, 2018
Robust principal component analysis (RPCA) via decomposition into low-rank plus sparse matrices offers a powerful framework for a large variety of applications such as image processing, video processing, and 3-D computer vision.
T. Bouwmans, S. Javed, Hong-Yan Zhang, Zhou-Chen Lin, R. Otazo   +4 more
semanticscholar   +1 more source

Assessment of variation in rice maintainer lines using principal component analysis

Electronic Journal of Plant Breeding
The aim of this study was to explore the characteristics essential for a maintainer line to effectively complement the A lines in hybrid rice production.
B. Edukondalu1, V. Ram Reddy1, T. Shobha Rani1, CH. Aruna Kumari2 and B. Soundharya3
doaj   +1 more source

Analytical method development of pitavastatin-loaded SNEDDS formulation: Multivariate analysis regarding ultraviolet spectrophotometry analysis

Journal of Food and Pharmaceutical Sciences, 2019
Herein, this work aimed to develop and assess feasibility of multivariate model of partial least square analysis for specific quantification of pitavastatin (PVT)-loaded self-nano emulsion (SNE) formulation using UV Vis spectrophotometry. PVT loaded into
Kuncahyo I, Choiri S, Fudholi A, Abdul Rohman, Ronny Martien   +4 more
doaj   +1 more source