Results 31 to 40 of about 183,993 (251)
Nonparametric Canonical Correlation Analysis
CoRR, 2015 Canonical correlation analysis (CCA) is a classical representation learning technique for finding correlated variables in multi-view data. Several nonlinear extensions of the original linear CCA have been proposed, including kernel and deep neural network methods. These approaches seek maximally correlated projections among families of functions, which
Tomer Michaeli +2 more
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Adversarial Canonical Correlation Analysis
CoRR, 2020 Canonical Correlation Analysis (CCA) is a statistical technique used to extract common information from multiple data sources or views. It has been used in various representation learning problems, such as dimensionality reduction, word embedding, and clustering.
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ANALYSIS OF STUDENT PERFORMANCE BASED ON CANONICAL CORRELATION ANALYSIS
Компютерні системи та інформаційні технологіїThe article examines the application of Canonical Correlation Analysis (CCA) to investigate the relationships between student performance outcomes across different groups of disciplines.
Катерина БЕРЕЗЬКА +3 more
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Generalized canonical correlation analysis for classification
Journal of Multivariate Analysis, 2014 28 pages, 3 figures, 7 ...
Cencheng Shen +3 more
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Associating Images with Sentences Using Recurrent Canonical Correlation Analysis
Applied Sciences, 2020 Associating images with sentences has drawn much attention recently. Existing methods commonly represent an image by indistinctively describing all its contents in an one-time static way, which ignores two facts that (1) the association analysis can only
Yawen Guo, Hui Yuan, Kun Zhang
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric radiation therapy presents unique challenges compared to adult treatments, including those of immobilization, potential need for sedation, and the critical importance of accurate, reproducible positioning. Additionally, heightened attention to imaging doses is necessary to minimize long‐term toxicity in survivors.
Parham Alaei +17 more
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Solving the SSVEP Paradigm Using the Nonlinear Canonical Correlation Analysis Approach
Sensors, 2021 This paper presents the implementation of nonlinear canonical correlation analysis (NLCCA) approach to detect steady-state visual evoked potentials (SSVEP) quickly.
Danni Rodrigo De la Cruz-Guevara +2 more
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Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation
FEBS Letters, EarlyView.Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe +3 more
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Robust and sparse canonical correlation analysis based L(2,p)-norm
The Journal of Engineering, 2017 The objective function of canonical correlation analysis (CCA) is equivalent to minimising an L(2)-norm distance of the paired data. Owing to the characteristic of L(2)-norm, CCA is highly sensitive to noise and irrelevant features.
Zhong-rong Shi +3 more
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Development of Automatic Wheeze Detection Algorithm for Children With Asthma
IEEE Access, 2021 Asthma is a symptom of tracheal obstruction caused by bronchospasm, and it is among the most prevalent chronic obstructive pulmonary diseases. Auscultation is the most commonly used approach for the clinical diagnosis of asthma.
Ho-Chang Kuo +3 more
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