Blar i Institutt for IKT og realfag på forfatter "Pedronette, Daniel"
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A BFS-Tree of ranking references for unsupervised manifold learning
Pedronette, Daniel; Valem, Lucas; Torres, Ricardo Da Silva (Journal article; Peer reviewed, 2021)Contextual information, defined in terms of the proximity of feature vectors in a feature space, has been successfully used in the construction of search services. These search systems aim to exploit such information to ... -
A Unified Model for Accelerating Unsupervised Iterative Re-Ranking Algorithms
Pisani, Flavia; Valem, Lucas; Pedronette, Daniel; Torres, Ricardo Da Silva; Borin, Edson; Breternitz Jr., Mauricio (Peer reviewed; Journal article, 2020)Despite the continuous advances in image retrieval technologies, performing effective and efficient content-based searches remains a challenging task. Unsupervised iterative re-ranking algorithms have emerged as a promising ...