Independence and coherence in temporal sequence computation across the fronto-parietal network. [PDF]
Imamura H +4 more
europepmc +1 more source
Stochastic processes for canonical correlation analysis
We consider two stochastic process methods for performing canonical correlation analysis (CCA). The first uses a Gaussian Process formulation of regression in which we use the current projection of one data set as the target for the other and then repeat
Colin Fyfe, Gayle Leen
core
Deep Dynamic Probabilistic Canonical Correlation Analysis
This paper presents Deep Dynamic Probabilistic Canonical Correlation Analysis (D2PCCA), a model that integrates deep learning with probabilistic modeling to analyze nonlinear dynamical systems.
Joe Qin, S. +3 more
core +1 more source
Machine learning framework for depression subtype grouping: integrating high-resolution imaging and clinical symptom analysis via correlation and clustering. [PDF]
Verma G +7 more
europepmc +1 more source
Mumtaz Hussain Soomro +2 more
openaire +1 more source
Linking career construction styles to career adaptability among university students: a canonical correlation analysis. [PDF]
Yılmaz O.
europepmc +1 more source
ReBaCCA-ss: Relevance-Balanced Continuum Correlation Analysis With Smoothing and Surrogating for Quantifying Similarity Between Population Spiking Activities. [PDF]
Zhang X, Xu C, Lu Z, Wang H, Song D.
europepmc +1 more source
Integrative functional and molecular characterization of Bali bull semen and its relationship with reproductive performance. [PDF]
Hendri H +10 more
europepmc +1 more source
Farm Assets and Their Sources of Financing: Application of Canonical Correlation Analysis (CCA)
Agnieszka Strzelecka +3 more
openaire +1 more source
Asymmetric canonical correlation analysis of Riemannian and high-dimensional data. [PDF]
Buenfil J, Lila E.
europepmc +1 more source

