Results 131 to 140 of about 14,660 (227)

Widespread Aquatic Insect Responses to Recent Warming in Swiss Mountain Lakes

Global Change Biology, Volume 32, Issue 6, June 2026.
Chironomids in surface sediment from 24 Swiss mountain lakes were studied and compared with surveys conducted on the same lakes in 1993/2002 to assess biological responses to recent climate warming. Most lakes show significant shifts in this important group of aquatic insects towards assemblages typical of warmer conditions, while a subset exhibits ...
Maja Damber, Ghéreint Devillet, Pierre Lapellegerie, Sandra O. Camara‐Brugger, Laura Jiménez‐Liébanas, Carmen Docci, Juliane Krenz, Nikolaus J. Kuhn, André F. Lotter, Oliver Heiri   +9 more
wiley   +1 more source

A kernel method for canonical correlation analysis

, 2001
1. Canonical correlation analysis (CCA) is a technique to extract common features from a pair of multivariate data. In complex situations, however, it does not extract useful features because of its linearity.
S. Akaho
core  

Computational Inference for Directions in Canonical Correlation Analysis

, 2023
Canonical Correlation Analysis (CCA) is a method for analyzing pairs of random vectors; it learns a sequence of paired linear transformations such that the resultant canonical variates are maximally correlated within pairs while uncorrelated across pairs.
Levina, Elizaveta, Kessler, Daniel
core  

Are integrative systematic tools efficient toward unraveling species diversity with the genus Jania (Corallinaceae, Rhodophyta)?

Journal of Phycology, Volume 62, Issue 3, Page 781-800, June 2026.
Abstract The articulated genus Jania currently comprises 54 accepted species, making it the fourth most speciose genus among corallines, following Lithophyllum, Amphiroa, and Lithothamnion. Unlike these other genera, Jania is relatively easy to identify at a generic rank. However, morpho‐anatomical characters are insufficiently discriminant for species
Clio Maridakis, Viviana Peña Freire, Gilberto Marani, Maria Tarin Sancho, Line Le Gall, Florence Rousseau   +5 more
wiley   +1 more source

Seasonal succession and niche differentiation in Skeletonema species driven by temperature and salinity in inner Tokyo Bay

Journal of Phycology, Volume 62, Issue 3, Page 931-942, June 2026.
Abstract The genus Skeletonema is a dominant diatom in coastal waters worldwide, frequently causing blooms, and it includes several cryptic species. To elucidate the occurrence patterns and niche differentiation among Skeletonema species in Tokyo Bay, Japan, sampling was conducted between June 2021 and February 2023.
Toshiya Katano, Tomohiro Suematsu, Ayane Tanaka, Saori Yasui‐Tamura, Fuminori Hashihama   +4 more
wiley   +1 more source

Structured Sparse Canonical Correlation Analysis

, 2018
In this paper, we propose to apply sparse canonical correlation analysis (sparse CCA) to an important genome-wide association study problem, eQTL mapping.
Han Liu (5362709), Jaime G. Carbonell (5361842), Xi Chen (5362001)   +2 more
core   +1 more source

Sparse kernel canonical correlation analysis

, 2013
Canonical correlation analysis (CCA) is a multivariate statistical technique for finding the linear relationship between two sets of variables. The kernel generalization of CCA named kernel CCA has been proposed to find nonlinear relations between data ...
Zhang, Xiaowei, Chu, Delin, Liao, Li Zhi, Ng, Michael K.   +3 more
core  

Sparse canonical correlation analysis from a predictive point of view

, 2013
Canonical correlation analysis (CCA) describes the associations between two sets of variables by maximizing the correlation between linear combinations of the variables in each data set. However, in high-dimensional settings where the number of variables
Croux, Christophe, Wilms, Ines
core  

Small n - large p Canonical Correlation Analysis

, 2014
This paper aims to conduct Canonical correlation analysis (CCA) when n does not dominate p. As high-dimensional data sets have increased, demands for dimension reduction and variable selection gets more popularity.
강혜인
core  

Statistical matching using autoencoders-canonical correlation analysis, kernel canonical correlation analysis and multi-output multilayer perceptron

A lot of data are gathered every day, whether via surveys or other sources. For many people, the need for variables from different data sources is a key factor and leads to the need of methods to combine them.
Beretta, Alessandro, Heuchenne, Cédric, Annoye, Hugues   +2 more
core   +1 more source