Neural Network based Clothing Style Analysis via Deep Filter Bank
碩士 === 國立中正大學 === 資訊工程研究所 === 104 === In this paper, deep filter bank is combined by convolution neural net- work(CNN) and fisher vector(FV) for feature extraction. FV is a method for feature encoding and it has the good results for texture recognition. CNN, which is one technology of deep learning,...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | en_US |
Published: |
2016
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Online Access: | http://ndltd.ncl.edu.tw/handle/phj33n |