Results 11 to 20 of about 30,090,669 (294)
Effective feature extraction and data reduction with hyperspectral imaging in remote sensing [PDF]
, 2014 Although PCA has been widely used for feature extraction and data reduction, it suffers from three main drawbacks: high computational cost, large memory requirement and low efficacy in processing large datasets such as HSI.
Zabalza, Jaime +3 more
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HIPPARCOS Data Reductions [PDF]
Symposium - International Astronomical Union, 1986 The raw data produced by the European Space Agency's astrometry satellite HIPPARCOS – mainly photon counts from the primary detector (IDT) and star mappers – will be analysed in full by two independent reduction consortia, FAST and NDAC. The aim is however to generate, by 1993, a single catalogue of positions, proper motions, and parallaxes for the 105
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Dimensionality Reduction with Image Data [PDF]
, 2004 A common objective in image analysis is dimensionality reduction. The most common often used data-exploratory technique with this objective is principal component analysis. We propose a new method based on the projection of the images as matrices after a Procrustes rotation and show that it leads to a better reconstruction of images.
Peña, Daniel, Benito, Mónica
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Dimensionality Reduction Mappings [PDF]
, 2011 A wealth of powerful dimensionality reduction methods has been established which can be used for data visualization and preprocessing. These are accompanied by formal evaluation schemes, which allow a quantitative evaluation along general principles and ...
Hammer, Barbara ; https://orcid.org/ +12 more
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Energy Consumption Prediction Using Data Reduction and Ensemble Learning Techniques
Journal of ICT Research and Applications, 2022 Building energy problems have various kinds of aspects, one of which is the difficulty of measuring energy efficiency. With current data development, energy efficiency measurements can be made by developing predictive models to estimate future building ...
Marsa Thoriq Ahmada, Saiful Akbar
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Frontiers in Artificial Intelligence, 2023 Current quantum systems have significant limitations affecting the processing of large datasets with high dimensionality, typical of high energy physics.
Miguel Caçador Peixoto +6 more
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, 2020 Data for the paper: X. Z. Gong, S. J. Yu, M. L. Guan, X. L. Zhu, C. Xue*, “Pyrene-Functionalized Polymeric Carbon Nitride with Promoted Aqueous-Organic Biphasic Photocatalytic CO2 Reduction”, J. Mater. Chem.
Xue, Can
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Replication Data for: Stepwise Reduction of Azapentabenzocorannulene
, 2022 This dataset contains experimental data reported in the paper "Stepwise Reduction of Azapentabenzocorannulene"
Ito, Shingo
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IEEE Access, 2022 Prognostics and Health Monitoring (PHM) of machinery is a research area with great relevance to industrial applications as it can serve as a foundation for safer, more cost-efficient operation and maintenance. The prediction of Remaining Useful Life (RUL)
German Sternharz +2 more
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Reduction of Liquidity Proxies by Using Principal Component Analysis in Tehran Capital Markets [PDF]
Journal of Asset Management and Financing, 2022 The purpose of this study was to investigate the possibility of using principal component analysis method as a tool for data reduction of the proxies of stock liquidity in Tehran Stock Exchange (TSE). First, the initial set of proxies of stock liquidity (
Iraj Asghari +3 more
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