Search Results for author: Ruiyuan Lin

Found 4 papers, 1 papers with code

Recovering Sign Bits of DCT Coefficients in Digital Images as an Optimization Problem

1 code implementation2 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.

Image Compression SSIM

Constructing Multilayer Perceptrons as Piecewise Low-Order Polynomial Approximators: A Signal Processing Approach

no code implementations15 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.

From Two-Class Linear Discriminant Analysis to Interpretable Multilayer Perceptron Design

no code implementations9 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 $l_2$.

Vocal Bursts Valence Prediction

Tree-structured multi-stage principal component analysis (TMPCA): theory and applications

no code implementations22 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.

Dimensionality Reduction General Classification +2

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