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Found 6 papers, 2 papers with code
On-the-Fly SfM: What you capture is What you get
Over the last decades, ample achievements have been made on Structure from motion (SfM).
Polyhedral Analysis of Symmetric Multilinear Polynomials over Box Constraints
These conditions are applied to obtain envelopes for two classes: symmetric supermodular functions and multilinear monomials with reflection symmetry, thereby yielding alternate proofs to the literature.
Optimization and Control 90C23, 90C57, 05E05, 52B15
Momentum-based variance-reduced proximal stochastic gradient method for composite nonconvex stochastic optimization
In this paper, we propose a new SGM, named PStorm, for solving nonconvex nonsmooth stochastic problems.
Parallel and distributed asynchronous adaptive stochastic gradient methods
The proposed method is tested on both convex and non-convex machine learning problems, and the numerical results demonstrate its clear advantages over the sync counterpart and the async-parallel nonadaptive SGM.
Optimization and Control Distributed, Parallel, and Cluster Computing Numerical Analysis Numerical Analysis 90C15, 65Y05, 68W15, 65K05
Katyusha Acceleration for Convex Finite-Sum Compositional Optimization
However, the additional compositional structure prohibits easy access to unbiased stochastic approximation of the gradient, so directly applying the SGM to a finite-sum compositional optimization problem (COP) is often inefficient.
Compressed Domain Image Classification Using a Dynamic-Rate Neural Network
Compressed domain image classification performs classification directly on compressive measurements acquired from the single-pixel camera, bypassing the image reconstruction step.
