Relevant bibliographies by topics / Multiway CCA

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Multiway CCA'

Author: Grafiati
Published: 6 September 2023
Last updated: 31 July 2025

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Journal articles on the topic "Multiway CCA"

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Gao, Yuhang, Juanning Si, Sijin Wu, et al. "Improvement of the Classification Accuracy of Steady-State Visual Evoked Potential-Based Brain-Computer Interfaces by Combining L1-MCCA with SVM." Applied Sciences 11, no. 23 (2021): 11453. http://dx.doi.org/10.3390/app112311453.

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Canonical correlation analysis (CCA) has been used for the steady-state visual evoked potential (SSVEP) based brain-computer interface (BCI) for a long time. However, the reference signal of CCA is relatively simple and lacks subject-specific information. Moreover, over-fitting may occur when a short time window (TW) length was used in CCA. In this article, an optimized L1-regularized multiway canonical correlation analysis (L1-MCCA) is combined with a support vector machine (SVM) to overcome the aforementioned shortcomings in CCA. The correlation coefficients obtained by L1-MCCA were transfer
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ZHANG, YU, GUOXU ZHOU, JING JIN, XINGYU WANG, and ANDRZEJ CICHOCKI. "FREQUENCY RECOGNITION IN SSVEP-BASED BCI USING MULTISET CANONICAL CORRELATION ANALYSIS." International Journal of Neural Systems 24, no. 04 (2014): 1450013. http://dx.doi.org/10.1142/s0129065714500130.

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Canonical correlation analysis (CCA) has been one of the most popular methods for frequency recognition in steady-state visual evoked potential (SSVEP)-based brain–computer interfaces (BCIs). Despite its efficiency, a potential problem is that using pre-constructed sine-cosine waves as the required reference signals in the CCA method often does not result in the optimal recognition accuracy due to their lack of features from the real electro-encephalo-gram (EEG) data. To address this problem, this study proposes a novel method based on multiset canonical correlation analysis (MsetCCA) to optim
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Valsamidis, Antonios, Grzegorz Różyński, and Dominic Reeve. "WAVE TRANSFORMATION PATTERNS AT A NON-TIDAL, DISSIPATIVE BEACH." Coastal Engineering Proceedings 1, no. 33 (2012): 19. http://dx.doi.org/10.9753/icce.v33.posters.19.

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In this study, the statistical method of the Canonical Correlation Analysis (CCA) was applied in order to gain insight into the interaction of nearshore wave climate and the morphological evolution of the seabed at Lubiatowo beach in Poland. Lubiatowo, a non-tidal, sandy beach characterized by multiple longshore bars (Figure 1) is typical of Southern Baltic coasts. In the past, this method has also been used in the coastal field by Larson et al. (2000). Rozinsky (2003) also used the CCA to find a correlation between components of a multibar system and the interaction between the multiple longs
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Das, Subham, Franklin D. West, and Cheolwoo Park. "Sparse multiway canonical correlation analysis for multimodal stroke recovery data." Biometrical Journal 66, no. 2 (2024). http://dx.doi.org/10.1002/bimj.202300037.

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AbstractConventional canonical correlation analysis (CCA) measures the association between two datasets and identifies relevant contributors. However, it encounters issues with execution and interpretation when the sample size is smaller than the number of variables or there are more than two datasets. Our motivating example is a stroke‐related clinical study on pigs. The data are multimodal and consist of measurements taken at multiple time points and have many more variables than observations. This study aims to uncover important biomarkers and stroke recovery patterns based on physiological
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Dissertations / Theses on the topic "Multiway CCA"

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Katthi, Jaswanth Reddy. "Deep Learning Methods For Audio EEG Analysis." Thesis, 2021. https://etd.iisc.ac.in/handle/2005/5734.

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The perception of speech and audio is one of the defining features of humans. Much of the brain’s underlying processes as we listen to acoustic signals are unknown, and significant research efforts are needed to unravel them. The non-invasive recordings capturing the brain activations like electroencephalogram (EEG) and magnetoencephalogram (MEG) are commonly deployed to capture the brain responses to auditory stimuli. But these non-invasive techniques capture artifacts and signals not related to the stimuli, which distort the stimulus-response analysis. The effect of the artifacts be- comes m
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Book chapters on the topic "Multiway CCA"

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Kemeni Kambiet, Perez L., and Marcellus Forh Mbah. "Climate Change Education in African Higher Education Institutions: Insights into Current Practices and Future Directions." In Practices, Perceptions and Prospects for Climate Change Education in Africa. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-84081-4_17.

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Abstract Climate change education (CCE) is a vital tool for addressing Africa’s vulnerability to climate change and advancing sustainable development. Its impact is even more significant when integrated into higher educational systems. Notably, Higher Education serves as a catalyst for innovation and nation-building and, hence, an essential medium for driving sustainability efforts across present and future generations. However, evidence suggests that the adoption of CCE in African Higher Education Institutions (HEIs) remains low. Few HEIs have specialized courses on the subject, while others
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LOPES DE OLIVEIRA CASTELINI, ALESSANDRA, and CÉLIA MARIA ADÃO DE OLIVEIRA AGUIAR DE SOUSA. "MÚLTIPLAS FORMAS DE LER E VALORIZAÇÃO DA CULTURA DO SERTÃO: A LITERATURA EM MULTIFORMATOS COM PRINCÍPIOS DO DESENHO UNIVERSAL PARA APRENDIZAGEM." In Inclusão, direitos humanos e interculturalidade (Vol.3). Editora Realize, 2025. http://dx.doi.org/10.46943/x.conedu.2024.gt11.037.

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Este trabalho discute aportes da literatura em multiformatos com base nos princípios do Desenho Universal para Aprendizagem – DUA, enquanto suporte de leitura mais acessível, problematizando a elaboração de livros acessíveis no curso de Pedagogia, da Universidade Federal do Piauí – UFPI em articulação com ações do Projeto de Extensão MULTILab – (PIBEX/UFPI) no ano de 2024, apresentando opções de estratégias e recursos inclusivos de modo a promover múltiplas formas de ler e valorização cultural. Deste modo, este estudo tem como objetivo refletir a produção de literatura acessível com elaboração
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Conference papers on the topic "Multiway CCA"

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Huang, Zhenhao, Yuning Qiu, Qibin Zhao, and Guoxu Zhou. "Bayesian Robust Tucker Decomposition for Multiway Data Analysis." In 2021 China Automation Congress (CAC). IEEE, 2021. http://dx.doi.org/10.1109/cac53003.2021.9727642.

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Valdivielso, Alex, and Toshiyuki Miyamoto. "Multicar elevator group control: Average reward learning method for service completion time reduction and interference prevention." In Control (MSC). IEEE, 2010. http://dx.doi.org/10.1109/cca.2010.5611304.

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Bortz, Daniel R., Matthew Weisenberger, Brock Marrs, and Rodney Andrews. "Fatigue Performance of Multiwall Carbon Nanotube Composite PMMA and ABS." In ASME 2008 International Mechanical Engineering Congress and Exposition. ASMEDC, 2008. http://dx.doi.org/10.1115/imece2008-67578.

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Poly (methyl methacrylate) (PMMA) and acrylonitrile-butadiene-styrene (ABS) – multiwall carbon nanotube (MWNT) and chopped carbon fiber (CCF) composites were prepared by a melt mixing protocol at various concentrations. Specimens were fabricated and tested using constant amplitude-of-deflection fatigue testing. The numbers of cycles to failure were recorded and analyzed using the linear version of the 2-parameter Weibull model. In the PMMA matrix, the 1.0vol% MWNT reinforced composites outperformed the neat PMMA matrix by +396% while the 1.0vol% CCF composites increased fatigue life by +198% o
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Feig, Ephraim, and Elliot Linzer. "Scaled discrete cosine transform algorithms for JPEG and MPEG implementations on fused multiply/add architectures." In Electronic Imaging '91, San Jose,CA, edited by Mehmet R. Civanlar, Sanjit K. Mitra, and Robert J. Moorhead II. SPIE, 1991. http://dx.doi.org/10.1117/12.45403.

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Drincic, Bojana, and Dennis S. Bernstein. "A multiplay model for rate-independent and rate-dependent hysteresis with nonlocal memory." In 2009 Joint 48th IEEE Conference on Decision and Control (CDC) and 28th Chinese Control Conference (CCC). IEEE, 2009. http://dx.doi.org/10.1109/cdc.2009.5400874.

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Reintjes, J., M. D. Duncan, R. Mahon, and L. L. Tankersley. "Imaging through scattering media using a Raman amplifier." In OSA Annual Meeting. Optica Publishing Group, 1991. http://dx.doi.org/10.1364/oam.1991.mz4.

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Using 30-psec pulses from a frequency doubled Nd:YAG laser, we have amplified and detected images with a resolution of less than 300 μm through suspensions of latex spheres and non-dairy creamer with nonscattered extinction ratios of up to e - 40. Our time-gated image amplifier can produce images under conditions in which the scattering medium is sufficiently dense that an image cannot be seen on either a streak camera or through a long-time integration on a CCD camera. The 532-nm frequency-doubled output was used both to generate a seed-Stokes pulse at 683 nm using hydrogen at 30 atm and to p
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Bashkansky, M., and J. Reintjes. "Imaging Through a Strong Scattering Medium Using Nonlinear Optical Field Cross-Correlation Techniques." In Photon Correlation and Scattering. Optica Publishing Group, 1992. http://dx.doi.org/10.1364/pcs.1992.mb5.

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There are certain applications where it is desirable to image an object embedded in, or hidden behind, a scattering medium. An example in the medical field would be transillumination of human tissue1,2. Among other potential applications one could consider imaging through any highly scattering medium like clouds or plastics. The obstacle to overcome is the multiply scattered light obscuring the image of the object. Several techniques have been employed to solve this problem. All of them are relying on the fact that the highly scattered light is delayed in time with respect to the less scattere
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