๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Dimensionality reduction by Mixed Kernel Canonical Correlation Analysis

โœ Scribed by Xiaofeng Zhu; Zi Huang; Heng Tao Shen; Jian Cheng; Changsheng Xu


Book ID
113840206
Publisher
Elsevier Science
Year
2012
Tongue
English
Weight
502 KB
Volume
45
Category
Article
ISSN
0031-3203

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Appearance models based on kernel canoni
โœ Thomas Melzer; Michael Reiter; Horst Bischof ๐Ÿ“‚ Article ๐Ÿ“… 2003 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 373 KB

This paper introduces a new approach to constructing appearance models based on kernel canonical correlation analysis (kernel-CCA). Kernel-CCA is a non-linear extension of CCA, where a non-linear transformation of the input data is performed implicitly using kernel methods. Although, in this respect