Improved Collaborative Representation Classifier Based on l_2-Regularized for Human Action Recognition

Li, S., Liu, W., Zheng, D., Hu, S., & Be, W. (2017). Localization of Near-Field Sources Based on Sparse Signal Reconstruction with Regularization Parameter Selection. International Journal of Antennas and Propagation, 2017(), 1-7-002. https://doi.org/10.1155/2017/1260601
Wang, D., Wang, X., & Yin, S. (2021). A New Recursive Neural Network and Center Loss for Expression Recognition. International Journal of Electronics and Information Engineering, 13(3), 97-104. https://doi.org/10.6636/IJEIE.202109_13(3).02
Chang, T. W., Huang, Y. P., & Sandnes, F. E. (2014). A GA-Based Fuzzy Recommender System for Region-Based Image Retrieval. International Journal of Fuzzy Systems, 16(3), 290-302. https://www.airitilibrary.com/Article/Detail?DocID=15622479-201409-201411040018-201411040018-290-302
Chen, P. J. (2016). Label Relation Based Scene Classification Using CNNs and LSTM [master's thesis, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU201601474
Li, F., Zuraday, J., & Wu, W. (2018). SPARSE REPRESENTATION LEARNING OF DATA BY AUTOENCODERS WITH L_(1/2) REGULARIZATION. Neural Network World, 28(2), 133-147. https://doi.org/10.14311/NNW.2018.28.008