Results 211 to 220 of about 265,861 (250)
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A principal component analysis (PCA) based assessment of the gait performance
Biomedical Engineering / Biomedizinische Technik, 2021Abstract The gait assessment is instrumental for evaluating the efficiency of rehabilitation of persons with a motor impairment of the lower extremities. The protocol for quantifying the gait performance needs to be simple and easy to implement; therefore, a wearable system and user-friendly computer program are preferable.
Gavrilović, Marija, Popović, Dejan B.
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The use of principal component analysis (PCA) to characterize beef
Meat Science, 2000Principal component analysis was performed to study the relationships between chemical, physical and sensory variables (n=18) measured on longissimus thoracis et lumborum of 79 young bulls from the following ethnic groups: hypertrophied Piemontese, normal Piemontese, Friesian, crossbred hypertrophied Piemontese×Friesian, Belgian Blue and White.
G, Destefanis +3 more
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Approximations of the standard principal components analysis and kernel PCA
Expert Systems with Applications, 2010Principal component analysis (PCA) is a powerful technique for extracting structure from possibly high-dimensional data sets, while kernel PCA (KPCA) is the application of PCA in a kernel-defined feature space. For standard PCA and KPCA, if the size of dataset is large, it will need a very large memory to store kernel matrix and a lot of time to ...
Rui Zhang, Wenjian Wang, Yi-Chen Ma
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Real-time PCA (principal component analysis) implementation on DSP
2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541), 2005PCA (principal component analysis) is a wellknown statistical technique used in many signal processing applications. An on-line temporal PCA learning algorithm is implemented on a floating-point DSP for real-time applications. This algorithm is coded in assembly language to optimize. The experimental results showed that the implemented on-line temporal
Dongho Han +3 more
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Identification of the isomers using principal component analysis (PCA) method
AIP Conference Proceedings, 2016In this work, we have carried out a detailed statistical analysis for experimental data of mass spectra from xylene isomers. Principle Component Analysis (PCA) was used to identify the isomers which cannot be distinguished using conventional statistical methods for interpretation of their mass spectra.
Kepceoglu, Abdullah +3 more
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Principal Component Analysis (PCA)
2019Principal component analysis (PCA) is an essential algorithm in machine learning. It is a mathematical method for evaluating the principal components of a dataset. The principal components are a set of vectors in high-dimensional space that capture the variance (i.e., spread) or variability of the feature space.
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Image authenticity implementing Principal Component Analysis (PCA)
2013 10th International Conference and Expo on Emerging Technologies for a Smarter World (CEWIT), 2013The paper addresses the application of finding key features within an image utilizing the process termed the Principal Components Analysis (PCA). Understanding this technique is critical for researchers within biometric fields and the larger cyber security field. Research, found in ASEE 2011 Conference Proceedings, titled “Edge Detectors in Engineering
Suzanna Schmeelk, John Schmeelk
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Applications of principal component analysis (PCA) on AIRS data
Multispectral and Hyperspectral Remote Sensing Instruments and Applications II, 2005Observations from the high spectral resolution Atmospheric InfraRed Sounder (AIRS) on the NASA EOS AQUA platform are providing improved information on the temporal and spatial distribution of key atmospheric parameters, such as temperature, moisture and clouds.
Mitchell D. Goldberg +4 more
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Characterization of PCBs by principal component analysis (PCA of PCB)
Marine Pollution Bulletin, 1989Abstract Tabulated results of PCB measurements in terms of individual chlorobiphenyls are converted into planar graphs for visual examination. Relationships among the chlorobiphenyls are also detected in the process.
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Face recognition based on principal component analysis (PCA)
2022 4th International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM), 2022Caihua Qiu, Feng Ding
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