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Journal Article
Knowledge-Based Systems, ISSN 0950-7051, 06/2018, Volume 149, pp. 34 - 46
In many real-world applications, an object can be represented from multiple views or styles. Thus, it is important to design algorithms that are able to... 
Local features | Heterogeneous recognition | View-similarity constraint | Common space | Cross-view recognition | Feature-based multi-view discriminant analysis | RECOGNITION | EIGENFACES | FACE | CANONICAL CORRELATIONS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
Journal of Applied Statistics, ISSN 0266-4763, 06/2018, Volume 45, Issue 8, pp. 1396 - 1409
Techniques of credit scoring have been developed these last years in order to reduce the risk taken by banks and financial institutions in the loans that they... 
Linear discriminant analysis | DISQUAL | multiblock correspondence analysis | generalized canonical analysis | Credit scoring | bi-partitioned data table | REGRESSION | STATISTICS & PROBABILITY | Loans | Scoring | Discriminant analysis | Regression analysis | Dependent variables
Journal Article
Australian & New Zealand Journal of Statistics, ISSN 1369-1473, 09/2003, Volume 45, Issue 3, pp. 301 - 318
Summary This paper describes a method of generalized discriminant analysis based on a dissimilarity matrix to test for differences in a priori groups of... 
asymptotics | permutation tests | multivariate | classification | MANOVA | canonical analysis | resampling | Canonical analysis | Permutation tests | Classification | Asymptotics | Resampling | Multivariate | TESTS | STATISTICS & PROBABILITY | DISSIMILARITY | VARIANCE | MULTIVARIATE-ANALYSIS
Journal Article
IEEE Access, ISSN 2169-3536, 2019, Volume 7, pp. 36702 - 36709
Journal Article
Applied Intelligence, ISSN 0924-669X, 02/2019, Volume 49, Issue 2, pp. 650 - 660
This paper proposes a novel multi-view discriminant analysis based on Hilbert-Schmidt Independence Criterion (HSIC) and canonical correlation analysis (CCA).... 
Feature extraction | Hilbert-Schimdt independence criterion | Multi-view discriminant analysis | Canonical correlation analysis | REDUCTION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Information science | Analysis | Discriminant analysis | Redundancy | Correlation analysis | Dependence
Journal Article
Neurocomputing, ISSN 0925-2312, 01/2018, Volume 275, pp. 107 - 120
Journal Article
Neurocomputing, ISSN 0925-2312, 05/2015, Volume 156, pp. 221 - 230
The classical linear discriminant analysis has been recently extended to the multi-label dimensionality reduction. However, Multi-label Linear Discriminant... 
Dimension reduction | Multi-label linear discriminant analysis | Spectral regression | Least squares | DIMENSIONALITY REDUCTION | ALGORITHM | CLASSIFICATION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | CANONICAL CORRELATION-ANALYSIS | PREDICTION | Computer science | Analysis
Journal Article
by Liu, HW and Ma, ZJ and Zhang, SC and Wu, XD
PATTERN RECOGNITION, ISSN 0031-3203, 05/2015, Volume 48, Issue 5, pp. 1724 - 1733
Multi-label data are prevalent in real world. Due to its great potential applications, multi-label learning has now been receiving more and more attention from... 
REGRESSION | Discriminant analysis | CLASSIFICATION | FORMULATION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Dimension reduction | MODELS | ANNOTATION | Multi-label learning | Sparse learning | Partial least squares | CANONICAL CORRELATION-ANALYSIS
Journal Article
Journal of Multivariate Analysis, ISSN 0047-259X, 01/2020, Volume 175, p. 104561
In this paper, we obtain the sufficient conditions to determine the consistency of a variable selection method based on a generalized information criterion in... 
Canonical discriminant analysis | Consistency | Variable selection
Journal Article
The Counseling Psychologist, ISSN 0011-0000, 09/2006, Volume 34, Issue 5, pp. 661 - 683
Social science research often entails the comparison of two or more groups. For example, researchers may explore differences between sexes, races, ethnicities,... 
MULTIVARIATE GROUP COMPARISONS | SYSTEM | MANOVA | PSYCHOLOGY, APPLIED | CANONICAL CORRELATION-ANALYSIS | Psychological Studies | Counseling Psychology | Discriminant Analysis | Discriminant analysis | Factor analysis | Social science research | Analysis | Research methodology | Psychology | Counseling
Journal Article
Food Quality and Preference, ISSN 0950-3293, 2012, Volume 23, Issue 1, pp. 18 - 24
► PLS discriminant analysis is used to analyze conventional sensory profiling data. ► Its outcomes are compared to those of alternative methods. ► Thereafter,... 
PLS discriminant analysis | Sensory profiling data | Selection of variables | Principal components analysis | Bootstrap | Canonical variates analysis | Confidence ellipses | GENERALIZED PROCRUSTES ANALYSIS | PRINCIPAL COMPONENT ANALYSIS | FOOD SCIENCE & TECHNOLOGY | MODELS | MULTICOLLINEAR DATA | SELECTION
Journal Article
Journal of Chemometrics, ISSN 0886-9383, 01/2009, Volume 23, Issue 1, pp. 7 - 18
Journal Article
Journal Article
Geomorphology, ISSN 0169-555X, 05/2018, Volume 308, pp. 204 - 214
The source of fluvial deposits in terraces provides important information about the catchment fluvial processes and landform evolution. In this study, we... 
Itrax-XRF scanning | Fluvial terraces | Canonical Discriminant Analysis | Source identification | AUSTRALIA | SEDIMENT SOURCES | RIVER | VARIABILITY | GEOGRAPHY, PHYSICAL | GEOSCIENCES, MULTIDISCIPLINARY | EVOLUTION | QUEENSLAND | BASIN | PROVENANCE | FAULT | EARTHQUAKE
Journal Article