This paper aims at proposing the joint use of Canonical Correlation Analysis and Procrustes Rotations (RCA), when we deal with a text and its translation into another language. The basic idea is representing words in the two different natural languages on a common reference space. The main characteristic of this space is to be language independent, although Procrustes Rotation is performed tran...

Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) are well known techniques for face recognition. Both PCA and LDA by themselves have good recognition rates. We propose Canonical Correlation Analysis (CCA) for combining two feature extractors to improve the performance of the system, by obtaining the advantages of both. CCA finds the transformation for each extractor dat...

We present a fast algorithm for approximate canonical correlation analysis (CCA). Given a pair of tall-and-thin matrices, the proposed algorithm first employs a randomized dimensionality reduction transform to reduce the size of the input matrices, and then applies any CCA algorithm to the new pair of matrices. The algorithm computes an approximate CCA to the original pair of matrices with prov...

In this article an accurate and efficient technique for tissue typing is presented. The proposed technique is based on Canonical Correlation Analysis, a statistical method able to simultaneously exploit the spectral and spatial information characterizing the Magnetic Resonance Spectroscopic Imaging (MRSI) data. Recently, Canonical Correlation Analysis has been successfully applied to other type...

in order to study the variation of fatty acids and protein content of soybean seeds and correlated morphological and phenological traits by canonical correlation analysis, 25 genotypes were evaluated with latis square design in baieakola agricultural research station of mazandaran agricultural research center in 2001. a number of 20 agronomic and eight quality traits were measured. the variatio...

During the past decade, the World Economic Forum has published its annual reports in which the Global Competitiveness Index is included. This paper aims to investigate the key factors for achieving an innovation-driven economy. In this paper, we used partial canonical correlation analysis (PCCA) to examine the relationships between key pillars in “efficiency enhancers” and “business sophisticat...

Careful attentions must be required for analyzing high dimensional Electroencephalographic (EEG) signals. There have many discrepancy or linearity when signals are recorded at different stimulations for a subject. When these signals are collected for different trails of a subject, there have similarity also. In this paper, we want to measure this correspondence on the basis of correlation aspec...

Fourteen different morphological traits in 169 and 131 cattle of Oulmes-Zaer and Tidili, respectively were recorded and analyzed using a multivariate approach. The characters measured included heart girth, wither height, rump height, rump length, rump width, chest depth, body length, neck length, cannon circumference, ear length, ear width, head length, horn length and tail length. Breed signif...