36 citations · 61 across the 4 of their papers we have counts for
4 papers
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…
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…
Low-rank spectral optimization via gauge duality
Michael P. Friedlander, Ives Macedo
Various applications in signal processing and machine learning give rise to highly structured spectral optimization problems characterized by low-rank solutions. Two important exam…
Gauge optimization and duality
Michael P. Friedlander, Ives Macedo, Ting Kei Pong
Gauge functions significantly generalize the notion of a norm, and gauge optimization, as defined by Freund (1987}, seeks the element of a convex set that is minimal with respect t…