Understanding non-convex optimization for sparse coding
Microsoft
Understanding non-convex optimization for sparse coding
Sparse coding is a basic algorithmic primitive in many machine learning applications, such as image denoising, edge detection, compression and deep learning. Most of the existing algorithms for sparse coding minimize a non-convex function by heuristics like alternating minimization, gradient descent or their variants. Despite their success in ...
Nov 12, 2014
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