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
Sparse dictionary learning Tutorial
VOCABULARY: Using the suffixes -tian, -sion and -tion What do Egyptian, information and confession all have in common? They’re all featured in this episode of 6 Minute Vocabulary and they all end in suffixes that are pronounced ‘shun’. Join Finn and Catherine and learn all about them. For more practice, check out the activities on our website: http://www.bbc.co.uk/learningenglish/english/course/intermediate/unit-24/session-1 | BBC Learning English
6:16
VOCABULARY: Using the suffixes -tian, -sion and -tion What do Egyptian, information and confession all have in common? They’re all featured in this episode of 6 Minute Vocabulary and they all end in suffixes that are pronounced ‘shun’. Join Finn and Catherine and learn all about them. For more practice, check out the activities on our website: http://www.bbc.co.uk/learningenglish/english/course/intermediate/unit-24/session-1 | BBC Learning English
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