Support Vector Machines for Automatic Multi-class Change Detection in Algerian Capital Using Landsat TM Imagery

offline signature verification using Feature Learning and One Class Support Vector Machines

offline signature verification using Feature Learning and One Class Support Vector Machines

Poster presented at the Deep Learning Indaba 2023 by Osman Tanko

Assessing the Land Cover Change of Accra Using Landsat-TM Data

Land use land cover change detection using multi-temporal Landsat imagery in the North of Congo Republic: a case study in Sangha region

In recent years, satellite data have become available for free to the remote sensing community. Land

Machine Learning-based Customer Churn Analysis in Telecommunications Using Support Vector Machines

International audience Faced with globalization and increasing competition, the infor

Kernelized support vector machines for modified Gabor features facial recognition

The Gabor-filter approach has been extensively used in the recognition of patterns most especially i

A comparative study of multi-class support vector machine methods for Arabic characters recognition