Classifier Selection Strategies based on Genetic Programming for Multimedia Recognition

• Grant number: 21/02023-4
• Support Opportunities: Scholarships in Brazil - Master
• Start date: April 01, 2021
• End date: January 31, 2023
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
• Agreement: Microsoft Research
• Principal Investigator: João Paulo Papa
• Grantee: Rafael Junqueira Martarelli
• Host Institution: Faculdade de Ciências (FC). Universidade Estadual Paulista (UNESP). Campus de Bauru. Bauru , SP, Brazil
• Company: Universidade Estadual Paulista (UNESP). Campus de Rio Claro. Instituto de Geociências e Ciências Exatas (IGCE)
• Associated research grant: 17/25908-6 - Weakly supervised learning for compressed video analysis on retrieval and classification tasks for visual alert, AP.PITE

Abstract

This project's main objective is to implement a method for selecting classifiers through Genetic Programming (GP) multimedia recognition purposes. Learning ensemble of classifiers is not trivial since each approach may contribute differently to the final decision. Therefore, understanding each classifier's importance within the ensemble is crucial to building committees for further decision-making. The application is oriented to multimedia classification, e.g., video event or action recognition. Different approaches based on GP will also be evaluated and compared for the target application. (AU)