Results 71 to 80 of about 14,660 (227)
High-Dimensional Canonical Correlation Analysis
This paper studies high-dimensional canonical correlation analysis (CCA) with an emphasis on the vectors that define canonical variables. The paper shows that when two dimensions of data grow to infinity jointly and proportionally, the classical CCA ...
Gorin, Vadim, Bykhovskaya, Anna
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ABSTRACT Triple‐negative breast cancer (TNBC) is an aggressive subtype of breast cancer characterized by high metastatic potential, poor prognosis, and limited effective therapeutic options. In this study, we investigated the molecular mechanisms underlying the anticancer effects of the nucleolin (NCL)‐targeting DNA aptamer AS1411 using label‐free ...
Ha‐Song Bae +6 more
wiley +1 more source
Non-Linear Canonical Correlation Analysis Using Alpha-Beta Divergence
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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Generalized Canonical Correlation Analysis for Classification
For multiple multivariate data sets, we derive conditions under which Generalized Canonical Correlation Analysis (GCCA) improves classification performance of the projected datasets, compared to standard Canonical Correlation Analysis (CCA) using only ...
Priebe, Carey E. +3 more
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Read the free Plain Language Summary for this article on the Journal blog. Abstract Analysing grassland ecological stoichiometry is crucial for evaluating ecosystem quality and health via energy flow and elemental equilibrium. Grazing is a dominant human activity shaping alpine grasslands on the Qinghai–Tibet Plateau (QTP), yet few studies have used ...
Mingxu Zhang +5 more
wiley +1 more source
In this paper, the impact of dummy variables on regression coefficients and canonical correlation indices from an empirical perspective is investigated.
Nsisong Ekong +3 more
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Discriminative extended canonical correlation analysis for pattern set matching
In this paper we address the problem of matching sets of vectors embedded in the same input space. We propose an approach which is motivated by canonical correlation analysis (CCA), a statistical technique which has proven successful in a wide variety of
Arandelovic, Oggie
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Abstract Understanding the drivers of change in communities is a major goal of paleoecology and community ecology, but statistical inference from multivariate time series is challenged by relative (rather than absolute) abundance data, observation uncertainty and missing data due to uneven sampling through time.
Quinn Asena +5 more
wiley +1 more source
Today’s advancements in neuroimaging have been pivotal in enhancing our understanding of brain development and function using various MRI techniques.
Ram Sapkota +4 more
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Descriptive statistics for anthropometric parameters, physical activities and blood lipids from Hubei province in 2013, nâ =â 5878. (DOCX 15Â kb)
Yu, Na +5 more
openaire +1 more source

