Appearance Models based on Kernel Canonical Correlation Analysis

Horst Bischof, T. Melzer, M. Reiter

Research output: Contribution to journal › Article › peer-review

Cite this

@article{4e69ec76082b46da9b86def023cd8ca6,

title = "Appearance Models based on Kernel Canonical Correlation Analysis",

author = "Horst Bischof and T. Melzer and M. Reiter",

note = "Pattern Recognition, Special Issue on Kernel and Subspace Methods for Computer Vision",

year = "2003",

language = "English",

volume = "36",

pages = "1961--1971",

journal = "Pattern Recognition",

issn = "1873-5142",

publisher = "Elsevier B.V.",

number = "9",

}

TY - JOUR

T1 - Appearance Models based on Kernel Canonical Correlation Analysis

AU - Bischof, Horst

AU - Melzer, T.

AU - Reiter, M.

N1 - Pattern Recognition, Special Issue on Kernel and Subspace Methods for Computer Vision

PY - 2003

Y1 - 2003

UR - http://www.icg.tu-graz.ac.at

M3 - Article

SN - 1873-5142

VL - 36

SP - 1961

EP - 1971

JO - Pattern Recognition

JF - Pattern Recognition

IS - 9

ER -