92 citations · 185 across the 14 of their papers we have counts for
9 papers · 1 filter
ODMTCNet: An Interpretable Multi-view Deep Neural Network Architecture for Image Feature Representation
Lei Gao, Zheng Guo, Ling Guan
This work proposes an interpretable multi-view deep neural network architecture, namely optimal discriminant multi-view tensor convolutional network (ODMTCNet), by integrating stat…
ECG Heartbeat Classification Using Multimodal Fusion
Zeeshan Ahmad, Anika Tabassum, Ling Guan +1
Electrocardiogram (ECG) is an authoritative source to diagnose and counter critical cardiovascular syndromes such as arrhythmia and myocardial infarction (MI). Current machine lear…
ECG Heart-beat Classification Using Multimodal Image Fusion
Zeeshan Ahmad, Anika Tabassum, Naimul Khan +1
In this paper, we present a novel Image Fusion Model (IFM) for ECG heart-beat classification to overcome the weaknesses of existing machine learning techniques that rely either on…
A Discriminative Vectorial Framework for Multi-modal Feature Representation
Lei Gao, Ling Guan
Due to the rapid advancements of sensory and computing technology, multi-modal data sources that represent the same pattern or phenomenon have attracted growing attention. As a res…
A Complete Discriminative Tensor Representation Learning for Two-Dimensional Correlation Analysis
Lei Gao, Ling Guan
As an effective tool for two-dimensional data analysis, two-dimensional canonical correlation analysis (2DCCA) is not only capable of preserving the intrinsic structural informatio…
The Property of Frequency Shift in 2D-FRFT Domain with Application to Image Encryption
Lei Gao, Lin Qi, Ling Guan
The Fractional Fourier Transform (FRFT) has been playing a unique and increasingly important role in signal and image processing. In this letter, we investigate the property of fre…