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We provide the source code for paper "E2BoWs: End-to-End Bag-of-Words Model vid Deep Convolutional Neural Network" in ChinaMM 2017. Paper is also accepted by Neurocomputing. The paper can be downloaded at "". If you find our work helpful, please kindly cite our paper:

title={E2BoWs: An End-to-End Bag-of-Words Model via Deep Convolutional Neural Network},
author={Liu, Xiaobin. and Zhang, Shiliang. and Huang, Tiejun. and Tian, Qi.},
journal={arXiv preprint arXiv:1709.05903},

We present some new layers such as "ReduceLayer", "SimED2LossLayer" and "ConvReLULayer".

We also present a tool to extract features: "my_extract_features", which writes features in binary files. A set of scripts is presented to read the features and to test the performance. An example of how to use the tools and scripts is shown in folder "CIFAR-10".

Please feel free to contact me if you have any question.

More details of this project will be released very soon.