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successive projections algorithm

Description: An iterative numerical algorithm that uses successive projections to solve feasibility problems or select variables in analytical and engineering applications.
OpenAlex ID: keywords/successive-projections-algorithm
The successive projections algorithm for variable selection in spectroscopic multicomponent analysis
2001 · Mário César Ugulino Araújo, Teresa Cristina Bezerra Saldanha, et al. · Chemometrics and Intelligent Laboratory Systems · 1,327
Variables selection methods in near-infrared spectroscopy
2010 · Zou Xiaobo, Zhao Jiewen, et al. · Analytica Chimica Acta · 1,080
Variable selection in near-infrared spectroscopy: Benchmarking of feature selection methods on biodiesel data
2011 · Roman M. Balabin, Sergey V. Smirnov · Analytica Chimica Acta · 399
Recent Advances in Wavelength Selection Techniques for Hyperspectral Image Processing in the Food Industry
2013 · Dan Liu, Da-Wen Sun, et al. · Food and Bioprocess Technology · 381
Probabilistic graph and hypergraph matching
2008 · Ron Zass, Amnon Shashua · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 373
A variable selection method based on mutual information and variance inflation factor
2021 · Jiehong Cheng, Jun Sun, et al. · Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy · 320
The successive projections algorithm
2012 · Sófacles Figueredo Carreiro Soares, Adriano A. Gomes, et al. · TrAC Trends in Analytical Chemistry · 307
A variable elimination method to improve the parsimony of MLR models using the successive projections algorithm
2008 · Roberto Kawakami Harrop Galvão, Mário César Ugulino Araújo, et al. · Chemometrics and Intelligent Laboratory Systems · 256
Non-destructive prediction of thiobarbituricacid reactive substances (TBARS) value for freshness evaluation of chicken meat using hyperspectral imaging
2015 · Zhenjie Xiong, Da-Wen Sun, et al. · Food Chemistry · 245
Quantitative detection of apple watercore and soluble solids content by near infrared transmittance spectroscopy
2020 · Zhiming Guo, MingMing Wang, et al. · Journal of Food Engineering · 233
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Determination of Hemicellulose, Cellulose and Lignin in Moso Bamboo by Near Infrared Spectroscopy
2015 · Xiaoli Li, Chanjun Sun, et al. · Scientific Reports · 223
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Successive projections algorithm combined with uninformative variable elimination for spectral variable selection
2007 · Shengfeng Ye, Dong Wang, et al. · Chemometrics and Intelligent Laboratory Systems · 222
Non-destructive assessment of instrumental and sensory tenderness of lamb meat using NIR hyperspectral imaging
2013 · Mohammed Kamruzzaman, Gamal ElMasry, et al. · Food Chemistry · 220
Hyperspectral Imaging for Presymptomatic Detection of Tobacco Disease with Successive Projections Algorithm and Machine-learning Classifiers
2017 · Hongyan Zhu, Bingquan Chu, et al. · Scientific Reports · 214
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Developing deep learning based regression approaches for determination of chemical compositions in dry black goji berries (Lycium ruthenicum Murr.) using near-infrared hyperspectral imaging
2020 · Chu Zhang, Wenyan Wu, et al. · Food Chemistry · 210
Application of long-wave near infrared hyperspectral imaging for measurement of color distribution in salmon fillet
2012 · Di Wu, Da-Wen Sun, et al. · Innovative Food Science & Emerging Technologies · 195
Detection of early blight and late blight diseases on tomato leaves using hyperspectral imaging
2015 · Chuanqi Xie, Yongni Shao, et al. · Scientific Reports · 184
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Classification of fresh and frozen-thawed pork muscles using visible and near infrared hyperspectral imaging and textural analysis
2014 · Hongbin Pu, Da-Wen Sun, et al. · Meat Science · 181
Rapid prediction of moisture content of dehydrated prawns using online hyperspectral imaging system
2012 · Di Wu, Hui Shi, et al. · Analytica Chimica Acta · 181
Long-term evaluation of soluble solids content of apples with biological variability by using near-infrared spectroscopy and calibration transfer method
2019 · Shuxiang Fan, Jiangbo Li, et al. · Postharvest Biology and Technology · 178
The successive projections algorithm for spectral variable selection in classification problems
2005 · Márcio José Coelho Pontes, Roberto Kawakami Harrop Galvão, et al. · Chemometrics and Intelligent Laboratory Systems · 177
Nondestructive Determination of Solids and Carotenoids in Tomato Products by Near-Infrared Spectroscopy and Multivariate Calibration
2005 · André M. K. Pedro, Márcia M. C. Ferreira · Analytical Chemistry · 173
Estimating Soil Organic Carbon Using VIS/NIR Spectroscopy with SVMR and SPA Methods
2014 · Xiaoting Peng, Tiezhu Shi, et al. · Remote Sensing · 169
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Hybrid variable selection in visible and near-infrared spectral analysis for non-invasive quality determination of grape juice
2009 · Di Wu, Yong He, et al. · Analytica Chimica Acta · 166
Combining the genetic algorithm and successive projection algorithm for the selection of feature wavelengths to evaluate exudative characteristics in frozen–thawed fish muscle
2015 · Jun-Hu Cheng, Da-Wen Sun, et al. · Food Chemistry · 161
Works count: 1,731
Citation count: 42,070
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