A unified model for accelerating unsupervised iterative re-ranking algorithms

Flávia Pisani, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres, Edson Borin, Maurício Breternitz Jr.

Abstract: Despite the continuous advances in image retrieval technologies, performing effective and efficient content-based searches remains a challenging task. Unsupervised iterative re-ranking algorithms hav...