Deep Computation Model for Unsupervised Feature Learning on Big Data

@article{Zhang2016DeepCM,
  title={Deep Computation Model for Unsupervised Feature Learning on Big Data},
  author={Qingchen Zhang and Laurence Tianruo Yang and Zhikui Chen},
  journal={IEEE Transactions on Services Computing},
  year={2016},
  volume={9},
  pages={161-171}
}
Deep learning has been successfully applied to feature learning in speech recognition, image classification and language processing. However, current deep learning models work in the vector space, resulting in the failure to learn features for big data since a vector cannot model the highly non-linear distribution of big data, especially heterogeneous data. This paper proposes a deep computation model for feature learning on big data, which uses a tensor to model the complex correlations of… CONTINUE READING