1 code implementation • 2 Nov 2022 • Ruiyuan Lin, Sheng Liu, Jun Jiang, Shujun Li, Chengqing Li, C. -C. Jay Kuo
Recovering unknown, missing, damaged, distorted, or lost information in DCT coefficients is a common task in multiple applications of digital image processing, including image compression, selective image encryption, and image communication.
no code implementations • 15 Oct 2020 • Ruiyuan Lin, Suya You, Raghuveer Rao, C. -C. Jay Kuo
Through the construction, a one-to-one correspondence between the approximation of an MLP and that of a piecewise low-order polynomial is established.
no code implementations • 9 Sep 2020 • Ruiyuan Lin, Zhiruo Zhou, Suya You, Raghuveer Rao, C. -C. Jay Kuo
Besides input layer $l_{in}$ and output layer $l_{out}$, the MLP of interest consists of two intermediate layers, $l_1$ and $l_2$.
no code implementations • 22 Jul 2018 • Yuanhang Su, Ruiyuan Lin, C. -C. Jay Kuo
A PCA based sequence-to-vector (seq2vec) dimension reduction method for the text classification problem, called the tree-structured multi-stage principal component analysis (TMPCA) is presented in this paper.