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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Graph -based selective rank fusion for unsupervised image retrieval

Full text
Author(s):
Valem, Lucas Pascotti [1] ; Guimaraes Pedronette, Daniel Carlos [1]
Total Authors: 2
Affiliation:
[1] State Univ Sao Paulo, UNESP, Dept Stat Appl Math & Comp, Av 24-A, 1515, BR-13506900 Rio Claro, SP - Brazil
Total Affiliations: 1
Document type: Journal article
Source: PATTERN RECOGNITION LETTERS; v. 135, p. 82-89, JUL 2020.
Web of Science Citations: 0
Abstract

FAPESP's process: 17/25908-6 - Weakly supervised learning for compressed video analysis on retrieval and classification tasks for visual alert
Grantee:João Paulo Papa
Support type: Research Grants - Research Partnership for Technological Innovation - PITE
FAPESP's process: 13/08645-0 - Re-Ranking and rank aggregation approaches for image retrieval tasks
Grantee:Daniel Carlos Guimarães Pedronette
Support type: Research Grants - Young Investigators Grants
FAPESP's process: 17/02091-4 - Selection and combination of unsupervised learning Methdos for content-based image retrieval
Grantee:Lucas Pascotti Valem
Support type: Scholarships in Brazil - Master
FAPESP's process: 18/15597-6 - Aplication and investigation of unsupervised learning methods in retrieval and classification tasks
Grantee:Daniel Carlos Guimarães Pedronette
Support type: Research Grants - Young Investigators Grants - Phase 2