**Meet the editor**

Parinya Sanguansat received the B.Eng., M.Eng and Ph.D. degrees in Electrical Engineering from Chulalongkorn University, Thailand, in 2001, 2004 and 2007, respectively. From 2007 to 2011, he was a member of the Faculty of Information Technology, Rangsit University, Thailand. He is currently an Assistant Professor at the Faculty of Engineering and Technology, Panyapiwat

Institute of Management, Thailand. His research interests include machine learning, pattern recognition and image processing.

Contents

**Preface IX** 

Parinya Sanguansat

Chapter 1 **Two-Dimensional Principal Component Analysis and Its Extensions 1** 

and Andrea Gómez-Zavaglia

Chapter 4 **Subset Basis Approximation of Kernel** 

Chapter 3 **Principal Component Analysis:** 

Yoshikazu Washizawa

Maria Monfreda

Chapter 2 **Application of Principal Component Analysis to** 

**A Powerful Interpretative Tool at the Service of Analytical Methodology 49** 

**Principal Component Analysis 67** 

Chapter 5 **Multilinear Supervised Neighborhood Preserving** 

**Dimensionality Reduction Methods 107**  Ramana Vinjamuri, Wei Wang, Mingui Sun

**Alternating Least Squares Algorithm for Nonlinear Principal Components Analysis 129**  Masahiro Kuroda, Yuichi Mori, Masaya Iizuka

Xian-Hua Han and Yen-Wei Chen

Chapter 6 **Application of Linear and Nonlinear** 

Chapter 7 **Acceleration of Convergence of the** 

and Michio Sakakihara

and Zhi-Hong Mao

**Embedding Analysis of Local Descriptor Tensor 91** 

**Elucidate Experimental and Theoretical Information 23** 

Cuauhtémoc Araujo-Andrade, Claudio Frausto-Reyes, Esteban Gerbino, Pablo Mobili, Elizabeth Tymczyszyn, Edgar L. Esparza-Ibarra, Rumen Ivanov-Tsonchev
