End-to-end Learning of a Convolutional Neural Network via Deep Tensor Decomposition

16 May 2018

Papers citing "End-to-end Learning of a Convolutional Neural Network via Deep Tensor Decomposition"

5 / 5 papers shown

Title
Hyperspectral Unmixing Based on Nonnegative Matrix Factorization: A Comprehensive Review Xin-Ru Feng Hengchao Li Rui Wang Q. Du X. Jia Antonio J. Plaza 19 63 0 20 May 2022
How does unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis Shuai Zhang M. Wang Sijia Liu Pin-Yu Chen Jinjun Xiong SSL MLT 39 22 0 21 Jan 2022
Deep matrix factorizations Pierre De Handschutter Nicolas Gillis Xavier Siebert BDL 26 40 0 01 Oct 2020
Learning Two-layer Neural Networks with Symmetric Inputs Rong Ge Rohith Kuditipudi Zhize Li Xiang Wang OOD MLT 25 57 0 16 Oct 2018
Tensor Decomposition for Signal Processing and Machine Learning N. Sidiropoulos L. De Lathauwer Xiao Fu Kejun Huang Evangelos E. Papalexakis Christos Faloutsos 102 1,342 0 06 Jul 2016