Automated novelty detection in the WISE survey with one-class support vector machines⋆

Author： Solarz A.   Bilicki M.   Gromadzki M.   Pollo A.   Durkalec A.   Wypych M.  

Publisher： Edp Sciences

E-ISSN： 1432-0746|606|issue|A39-A39

ISSN： 0004-6361

Source： Astronomy & Astrophysics, Vol.606, Iss.issue, 2017-10, pp. : A39-A39

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

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

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

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

By Ghimire Deepak   Lee Joonwhoan  

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

MDPI

Access to resources Recommend Favorite

Ensemble of One-Class Classifiers for Personal Risk Detection Based on Wearable Sensor Data

By Rodríguez Jorge   Barrera-Animas Ari Y.   Trejo Luis A.   Medina-Pérez Miguel Angel   Monroy Raúl  

Sensors, Vol. 16, Iss. 10, 2016-09 ,pp. : 1619-1619

MDPI

Access to resources Recommend Favorite