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Online dictionary learning for Local Coordinate Coding with Locality Coding Adaptors
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DOI：10.1016/j.neucom.2015.01.035.png)
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Dictionary in Local Coordinate Coding (LCC) is important to approximate a non-linear function with linear ones. Optimizing dictionary from predefined coding schemes is a challenge task. This paper focuses on learning dictionary from two Locality Coding Adaptors (LCAs), i.e., locality Gaussian Adaptor (GA) and locality Euclidean Adaptor (EA), for large-scale and high-dimension datasets. Online dictionary learning is formulated as two cycling steps, local coding and dictionary updating. Both stages scale up gracefully to large-scale datasets with millions of data. The experiments on different applications demonstrate that our method leads to a faster dictionary learning than the classical ones or the state-of-the-art methods. (C) 2015 Elsevier B.V. All rights reserved.
Keyword:
Local Coordinate Coding
Surrogate function
Locality Coding Adaptor
Large scale problem
Online training
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IF:
6.5
论文数:
2.5W
被引数:
6.5W
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