1.1k citations · 2.3k across the 40 of their papers we have counts for
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cs.CV2016★ 1 cited
A Probabilistic Optimum-Path Forest Classifier for Binary Classification Problems
Silas E. N. Fernandes, Danillo R. Pereira, Caio C. O. Ramos +2
Probabilistic-driven classification techniques extend the role of traditional approaches that output labels (usually integer numbers) only. Such techniques are more fruitful when d…
cs.LG2016★ 1 cited
Temperature-Based Deep Boltzmann Machines
Leandro Aparecido Passos Junior, Joao Paulo Papa
Deep learning techniques have been paramount in the last years, mainly due to their outstanding results in a number of applications, that range from speech recognition to face-base…