稀疏编码

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初译:@寅莹
初译:@寅莹
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一审:@大黄蜂的思索
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==一审:@大黄蜂的思索==
Sparse coding is a class of unsupervised methods for learning sets of over-complete bases to represent data efficiently. The aim of sparse coding is to find a set of basis vectors <math>\mathbf{\phi}_i</math> such that we can represent an input vector <math>\mathbf{x}</math> as a linear combination of these basis vectors:  
Sparse coding is a class of unsupervised methods for learning sets of over-complete bases to represent data efficiently. The aim of sparse coding is to find a set of basis vectors <math>\mathbf{\phi}_i</math> such that we can represent an input vector <math>\mathbf{x}</math> as a linear combination of these basis vectors:  

Revision as of 02:09, 8 March 2013

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