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NeuroImage, ISSN 1053-8119, 02/2019, Volume 186, pp. 728 - 740
Brain data recorded with electroencephalography (EEG), magnetoencephalography (MEG) and related techniques often have poor signal-to-noise ratios due to the... 
CCA | Multiple CCA | Multivariate CCA | Multiway CCA | EEG | Generalized CCA | FUSION | COMPONENTS | DECOMPOSITION | MECHANISMS | NEUROSCIENCES | NEUROIMAGING | CONSISTENCY | RESPONSES | ATTENDED SPEECH | SETS | TRACKING | CORTICAL ACTIVITY | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | Brain | Data analysis | Noise | Magnetoencephalography | Correlation analysis | Data processing | Electroencephalography | Sensors
Journal Article
Image and Vision Computing, ISSN 0262-8856, 10/2014, Volume 32, Issue 10, pp. 761 - 770
Journal Article
11/2013
This study aimed to evaluate the retention and penetration of copper chrome arsenate (CCA type C) as well as some wood properties of two rotations of two... 
CCA | wood preservation | preservação da madeira | eucalyptus | rotation | eucalipto | rotação
Web Resource
11/2013
The objectives were the chemical quantification of preservatives, the anatomical identification of forest species and the principal decay agent identification... 
CCA | wood poles | agentes deterioradores | decay agents | postes de madeira
Web Resource
BBA - Gene Regulatory Mechanisms, ISSN 1874-9399, 04/2018, Volume 1861, Issue 4, pp. 433 - 441
tRNAs are key players in translation and are additionally involved in a wide range of distinct cellular processes. The vital importance of tRNAs becomes... 
3′-CCA end | RNA processing | tRNA quality control | RNase T | tRNA end turnover | CCA-adding enzyme | MITOCHONDRIAL GENOME | BIOCHEMISTRY & MOLECULAR BIOLOGY | ESCHERICHIA-COLI | QUALITY-CONTROL | 3 '-CCA end | YEAST SACCHAROMYCES-CEREVISIAE | BIOPHYSICS | STRUCTURAL BASIS | 23S RIBOSOMAL-RNA | POLYMERASE III | IN-VIVO | MATURE TRANSFER-RNAS | 3'-END MATURATION
Journal Article
08/2013
The objectives were the chemical quantification of preservatives, the anatomical identification of forest species and the principal decay agent identification... 
CCA | wood poles | fpostes de madeira | agentes deterioradores | decay agents
Web Resource
Journal of Cleaner Production, ISSN 0959-6526, 04/2018, Volume 179, pp. 292 - 307
Journal Article
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, 2009, Volume 5443, pp. 357 - 376
Journal Article
Wireless Personal Communications, ISSN 0929-6212, 12/2017, Volume 97, Issue 4, pp. 6441 - 6451
Electroencephalogram (EEG) signal is usually suffered from motion artifacts, generated randomly during signal acquisition timings. These artifacts sturdily... 
Engineering | EEMD–CCA | Signal,Image and Speech Processing | EEG | Communications Engineering, Networks | Computer Communication Networks | Spline | EEMD–CCA–DWT | EEMD-CCA-DWT | REMOVAL | TELECOMMUNICATIONS | EEMD-CCA | EMPIRICAL-MODE DECOMPOSITION | INDEPENDENT COMPONENT ANALYSIS | Interpolation | Usage | Electroencephalography | Antiquities | Analysis
Journal Article
IEEE TRANSACTIONS ON SIGNAL PROCESSING, ISSN 1053-587X, 01/2019, Volume 67, Issue 2, pp. 306 - 319
The sum-of-correlation (SUMCOR) formulation of generalized canonical correlation analysis (GCCA) seeks highly correlated low-dimensional representations of... 
cross-modality retrieval | multiview CCA | CONVERGENCE ANALYSIS | scalahility | SETS | FORMULATION | Canonical correlation analysis (CCA) | feature selection | LEAST-SQUARES | SUMCOR | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
Signal Processing, ISSN 0165-1684, 10/2014, Volume 103, pp. 184 - 194
In this paper a face super-resolution method using two-dimensional canonical correlation analysis (2D CCA) is presented. A detail compensation step is followed... 
Learning | Subspace | Super-resolution | 2D CCA | Face | 1D CCA | HALLUCINATING FACES | RECOGNITION | RECONSTRUCTION | QUALITY ASSESSMENT | CANONICAL CORRELATION-ANALYSIS | ENGINEERING, ELECTRICAL & ELECTRONIC | Analysis | Algorithms
Journal Article
Applied Soft Computing Journal, ISSN 1568-4946, 01/2018, Volume 62, pp. 45 - 56
Journal Article