On this page Matlab code that I have written will be published. If you make any usage of the code please reference the appropriate paper and forward a copy of your paper either by email to davidrh AT me.com

Please email me any modification you may apply to the code.

[ Link to Code | What to Reference ] - Details of the code

[ Code | Paper ] - Sparse CCA

[ Code | Paper ] - Deflation wrapper code for SCCA (adapt to your needs)

[ Code | Paper ] - Conformity measure prediction

[ Code Package |  Paper ] - KCCA Package with all files required

[ Code | Paper ] - Partial Gram-Schmidt Decomposition

[ Code | Paper ] - Dual Partial Least Squares Classification and Regression

[ Code | Paper ] - Primal Partial Least Squares Regression

[ Code | Paper ] - Kernel Canonical Correlation Analysis (regularisation 0..1)

[ Code | Paper ] - Kernel Canonical Correlation Analysis (regularisation 0..Inf)

[ Code | Paper ] - Canonical Correlation Analysis

[ Code | Site ] - Centralise training/testing kernels

[ Code | Site ] - Normalise, needed by KCCA code

[ Code | Paper ] - Project, if you use the features in the projected space you’ll need to project the testing kernels.

[ Code | Site ] - Kernel code (Linear, Polynomial, Gaussian)

[ Code | Site ] - Convulsion Kernel code (needs Kernel code)

[ Code | Site ] - Computes TFIDF features from documents

[ Code | Site ] - Log(Det(G)) code that computes the logdet of very large matrices G

[ Code (Old Version) | Paper ] - KCCA Bound

[ Code | Paper ] - SVM2K

[ Package ] - My third year UGD project application - SVM Web Image Filtering “Swif”, read me files in zip package. you may need to check that all folders (Especially ‘Directories’) are write-able. Written in Java.