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
β¦ LIBER β¦
Fast Active Appearance Model Search Using Canonical Correlation Analysis
β Scribed by Donner, R.; Reiter, M.; Langs, G.; Peloschek, P.; Bischof, H.
- Book ID
- 117931360
- Publisher
- IEEE
- Year
- 2006
- Tongue
- English
- Weight
- 937 KB
- Volume
- 28
- Category
- Article
- ISSN
- 0162-8828
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Appearance models based on kernel canoni
β
Thomas Melzer; Michael Reiter; Horst Bischof
π
Article
π
2003
π
Elsevier Science
π
English
β 373 KB
Model selection in canonical correlation
β
Robert Noble; Eric P. Smith; Keying Ye
π
Article
π
2004
π
John Wiley and Sons
π
English
β 187 KB
Detection of neural activity in function
β
Ola Friman; Jonny Cedefamn; Peter Lundberg; Magnus Borga; Hans Knutsson
π
Article
π
2001
π
John Wiley and Sons
π
English
β 444 KB
π 1 views
Fast nosological imaging using canonical
β
Teresa Laudadio; M. Carmen MartΓnez-Bisbal; Bernardo Celda; Sabine Van Huffel
π
Article
π
2008
π
John Wiley and Sons
π
English
β 503 KB
## Abstract A new fast and accurate tissue typing technique has recently been successfully applied to prostate MR spectroscopic imaging (MRSI) data. This technique is based on canonical correlation analysis (CCA), a statistical method able to simultaneously exploit the spectral and spatial informat
On using non-linear canonical correlatio
β
Zhihua Jian; Zhen Yang
π
Article
π
2010
π
SP Science Press
π
English
β 224 KB
Prediction of Indian summer monsoon rain
β
Ankita Singh; Makarand A. Kulkarni; U. C. Mohanty; S. C. Kar; Andrew W. Robertso
π
Article
π
2012
π
John Wiley and Sons
π
English
β 539 KB