2 papers
cs.CV2020
Adaptive additive classification-based loss for deep metric learning
Istvan Fehervari, Ives Macedo
Recent works have shown that deep metric learning algorithms can benefit from weak supervision from another input modality. This additional modality can be incorporated directly in…
math.OC2018
Polar Convolution
Michael P. Friedlander, Ives Macêdo, Ting Kei Pong
The Moreau envelope is one of the key convexity-preserving functional operations in convex analysis, and it is central to the development and analysis of many approaches for convex…