Geometric Feature-Based Facial Expression Recognition in Image Sequences Using Multi-Class AdaBoost and Support Vector Machines

Author： Ghimire Deepak Lee Joonwhoan

Publisher： MDPI

E-ISSN： 1424-8220|13|6|7714-7734

ISSN： 1424-8220

Source： Sensors, Vol.13, Iss.6, 2013-06, pp. : 7714-7734

Access to resources Favorite

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Human Action Recognition from Multiple Views Based on View-Invariant Feature Descriptor Using Support Vector Machines

By Sargano Allah Bux Angelov Plamen Habib Zulfiqar

Applied Sciences, Vol. 6, Iss. 10, 2016-10 ,pp. : 309-309

MDPI

Access to resources Recommend Favorite

SAR Imagery Classification using Multi-class Support Vector Machines

By Angiulli G. Barrile V. Cacciola M.

Journal of Electromagnetic Waves and Applications, Vol. 19, Iss. 14, 2005-11 ,pp. : 1865-1872

Taylor & Francis Ltd

Access to resources Recommend Favorite

Online Least Squares One-Class Support Vector Machines-Based Abnormal Visual Event Detection

By Wang Tian Chen Jie Zhou Yi Snoussi Hichem

Sensors, Vol. 13, Iss. 12, 2013-12 ,pp. : 17130-17155

MDPI

Access to resources Recommend Favorite

Improving Empirical Mode Decomposition Using Support Vector Machines for Multifocus Image Fusion

By Chen Shaohui Su Hongbo Zhang Renhua Tian Jing Yang Lihu

Sensors, Vol. 8, Iss. 4, 2008-04 ,pp. : 2500-2508

MDPI

Access to resources Recommend Favorite

Classification of Fruits Using Computer Vision and a Multiclass Support Vector Machine

By Zhang Yudong Wu Lenan

Sensors, Vol. 12, Iss. 9, 2012-09 ,pp. : 12489-12505

MDPI

Access to resources Recommend Favorite