Results 21 to 30 of about 490,920 (259)
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
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Nonequilibrium Evolution of Correlation Functions: A Canonical Approach [PDF]
, 2003 We study nonequilibrium evolution in a self-interacting quantum field theory invariant under space translation only by using a canonical approach based on the recently developed Liouville-von Neumann formalism.
A. Dolgov +104 more
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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
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Investigation and prediction of quality parameters of Gamasyab river using multivariate method of Canonical correlation analysis and time series [PDF]
Pizhūhish dar Bihdāsht-i Muḥīṭ., 2019 Background and purpose: The present study was performed to investigate trend and prediction of changes in some quality parameters of Gamasyab river water using multivariate statistical methods and time series.
Maryam Sayadi, Mojtaba G.Mahmoodlu
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A Jacobi–Davidson Method for Large Scale Canonical Correlation Analysis
Algorithms, 2020 In the large scale canonical correlation analysis arising from multi-view learning applications, one needs to compute canonical weight vectors corresponding to a few of largest canonical correlations.
Zhongming Teng, Xiaowei Zhang
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AIMS Mathematics, 2023 Recently, there has been increased interest in emotion recognition. It is widely utilised in many industries, including healthcare, education and human-computer interaction (HCI).
Youseef Alotaibi, Veera Ankalu. Vuyyuru
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Sparse canonical correlation analysis [PDF]
Machine Learning, 2010 We present a novel method for solving Canonical Correlation Analysis (CCA) in a sparse convex framework using a least squares approach. The presented method focuses on the scenario when one is interested in (or limited to) a primal representation for the first view while having a dual representation for the second view.
Hardoon, David R., Shawe-Taylor, John
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Non‐linear canonical correlation† [PDF]
British Journal of Mathematical and Statistical Psychology, 1983 Non‐linear canonical correlation analysis is a method for canonical correlation analysis with optimal scaling features. The method fits many kinds of discrete data. The different parameters are solved for in an alternating least squares way and the corresponding program is called CANALS.
van der Burg, Eeke, de Leeuw, Jan
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Critical Behavior in the Rotating D-branes [PDF]
, 1999 The low energy excitation of the rotating D3-branes is thermodynamically stable up to a critical angular momentum density. This indicates that there is a corresponding phase transition of the ${\cal N}$=4 large $N$ super Yang-Mills theory at finite ...
Csáki C. +3 more
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Non-Linear Canonical Correlation Analysis Using Alpha-Beta Divergence
Entropy, 2013 We propose a generalized method of the canonical correlation analysis using Alpha-Beta divergence, called AB-canonical analysis (ABCA). From observations of two random variables, x ∈ RP and y ∈ RQ, ABCA finds directions, wx ∈ RP and wy ∈ RQ, such that ...
Andrzej Cichocki, Abhijit Mandal
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