On the Link between Gaussian Homotopy Continuation and Convex Envelopes

By Hossein Mobahi, John W. Fisher III. 2015

84 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Rheumatology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Luca Carlone
2. Heng Yang
3. V. Tzoumas
4. Pasquale Antonante
5. Shai Shalev-Shwartz
6. Kfir Yehuda Levy
7. Hossein Mobahi
8. Elad Hazan

In Rheumatology

1. Heng Yang
2. Luca Carlone
3. V. Tzoumas
4. Pasquale Antonante
5. Hossein Mobahi

Citations in the corpus

• Training Recurrent Neural Networks by Diffusion (2016, methodology): “The optimality of using the diffusion equation for creating intermediate optimization problems is studied in our earlier work [Mobahi and Fisher III, 2015].”
• Graduated Non-Convexity for Robust Spatial Perception: From Non-Minimal Solvers to Global Outlier Rejection (2019, methodology): “Graduated non-convexity (GNC) is a popular approach for the optimization of a generic non-convex cost function ρ(·) and has been used in several endeavors, including vision [33] and machine learning [45] (see [46] for more applications).”
• On Graduated Optimization for Stochastic Non-Convex Problems (2015, background): “A comprehensive survey of the graduated optimization literature can be found in Mobahi and Fisher III (2015a).”