Results 11 to 20 of about 184,542 (254)
Neurons as Canonical Correlation Analyzers
Frontiers in Computational Neuroscience, 2020 Normative models of neural computation offer simplified yet lucid mathematical descriptions of murky biological phenomena. Previously, online Principal Component Analysis (PCA) was used to model a network of single-compartment neurons accounting for ...
Cengiz Pehlevan +4 more
doaj +1 more source
Supervised Canonical Correlation Analysis Based on Deep Learning [PDF]
Jisuanji gongcheng, 2022 Canonical Correlation Analysis (CCA) is a multivariate statistical method, which uses the correlation between comprehensive variable pairs to reflect the overall correlation between two groups of indicators.The traditional CCA method can not effectively ...
ZHANG Heng, CHEN Xiaohong, LAN Yuxiang, LI Shunming
doaj +1 more source
The relationship between teachers' attitudes towards distance education and their digital literacy levels [PDF]
Journal of Pedagogical Research, 2023 The purpose of this study was to examine the relationship between teachers' attitudes towards distance education and their digital literacy levels. Teachers' attitudes towards distance education and digital literacy levels were determined using a survey ...
Selda Uzun +3 more
doaj +1 more source
Permutation inference for canonical correlation analysis
NeuroImage, 2020 Canonical correlation analysis (CCA) has become a key tool for population neuroimaging, allowing investigation of associations between many imaging and non-imaging measurements.
Anderson M. Winkler +3 more
doaj +1 more source
Canonical Correlation between Fathering and Emotional Autonomy [PDF]
Faṣlnāmah-i Farhang Mushavirah va Ravān/Darmānī, 2015 از سال 1986 که استینبرگ و سیلوربرگ برای اولینبار اصطلاح استقلال عاطفی را برای جدایی عاطفی نوجوان از والدینشان به کار بردند؛ در رابطه با عوامل تأثیرگذار بر آن، پژوهشهای زیادی صورت گرفت.
asieh omidvar tehrani +1 more
doaj +1 more source
Nonlinear Canonical Correlation Analysis:A Compressed Representation Approach
Entropy, 2020 Canonical Correlation Analysis (CCA) is a linear representation learning method that seeks maximally correlated variables in multi-view data. Nonlinear CCA extends this notion to a broader family of transformations, which are more powerful in many real ...
Amichai Painsky +2 more
doaj +1 more source
Process Monitoring Using Canonical Correlation Analysis
JISR on Computing, 2019 Principal component analysis (PCA) and partial least square (PLS) used for fault diagnosis and process monitoring for systems. It is expected that the information to be examined isn't self-connected.
Yin SHEN +4 more
doaj +1 more source
Kernel functional canonical correlation analysis
Acta Universitatis Lodziensis. Folia Oeconomica, 2016 Canonical correlation methods for data representing functions or curves have received much attention in recent years. Such data, known in the literature as functional data (Ramsay and Silverman, 2005), has been the subject of much recent research ...
Mirosław Krzyśko, Łukasz Waszak
doaj +1 more source
Sufficient Canonical Correlation Analysis [PDF]
IEEE Transactions on Image Processing, 2016 Canonical correlation analysis (CCA) is an effective way to find two appropriate subspaces in which Pearson's correlation coefficients are maximized between projected random vectors. Due to its well-established theoretical support and relatively efficient computation, CCA is widely used as a joint dimension reduction tool and has been successfully ...
Guo, Y, Ding, X, Liu, C, Xue, J-H
openaire +3 more sources
Tensor canonical correlation analysis [PDF]
Stat, 2019 Canonical correlation analysis (CCA) is a multivariate analysis technique for estimating a linear relationship between two sets of measurements. Modern acquisition technologies, for example, those arising in neuroimaging and remote sensing, produce data in the form of multidimensional arrays or tensors.
Eun Jeong Min, Eric C. Chi, Hua Zhou
openaire +4 more sources