✦ LIBER ✦

Class dependent factor analysis and its application to face recognition

✍ Scribed by Birkan Tunç; Volkan Dağlı; Muhittin Gökmen

Book ID: 118252895
Publisher: Elsevier Science
Year: 2012
Tongue: English
Weight: 686 KB
Volume: 45
Category: Article
ISSN: 0031-3203
DOI: 10.1016/j.patcog.2012.05.017

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Regularized discriminant analysis and it

Regularized discriminant analysis and its application to face recognition

✍ Dao-Qing Dai; Pong C. Yuen 📂 Article 📅 2003 🏛 Elsevier Science 🌐 English ⚖ 73 KB

Factored principal components analysis,

Factored principal components analysis, with applications to face recognition

✍ Ian L. Dryden; Li Bai; Christopher J. Brignell; Linlin Shen 📂 Article 📅 2008 🏛 Springer US 🌐 English ⚖ 508 KB

Kernel-based improved discriminant analy

Kernel-based improved discriminant analysis and its application to face recognition

✍ Dake Zhou; Zhenmin Tang 📂 Article 📅 2009 🏛 Springer 🌐 English ⚖ 745 KB

Improved discriminate analysis for high-

Improved discriminate analysis for high-dimensional data and its application to face recognition

✍ Xiao-Sheng Zhuang; Dao-Qing Dai 📂 Article 📅 2007 🏛 Elsevier Science 🌐 English ⚖ 672 KB

Many pattern recognition applications involve the treatment of high-dimensional data and the small sample size problem. Principal component analysis (PCA) is a common used dimension reduction technique. Linear discriminate analysis (LDA) is often employed for classification. PCA plus LDA is a famous

A parameterized direct LDA and its appli

A parameterized direct LDA and its application to face recognition

✍ Fengxi Song; David Zhang; Jizhong Wang; Hang Liu; Qing Tao 📂 Article 📅 2007 🏛 Elsevier Science 🌐 English ⚖ 399 KB

A novel incremental principal component

A novel incremental principal component analysis and its application for face recognition

✍ Haitao Zhao; Pong Chi Yuen; Kwok, J.T. 📂 Article 📅 2006 🏛 IEEE 🌐 English ⚖ 545 KB