92 citations · 176 across the 8 of their papers we have counts for
8 papers
A GPU-accelerated Algorithm for Distinct Discriminant Canonical Correlation Network
Kai Liu, Lei Gao, Ling Guan
Currently, deep neural networks (DNNs)-based models have drawn enormous attention and have been utilized to different domains widely. However, due to the data-driven nature, the DN…
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…
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…
Discriminative Multiple Canonical Correlation Analysis for Information Fusion
Lei Gao, Lin Qi, Enqing Chen +1
In this paper, we propose the Discriminative Multiple Canonical Correlation Analysis (DMCCA) for multimodal information analysis and fusion. DMCCA is capable of extracting more dis…
The Labeled Multiple Canonical Correlation Analysis for Information Fusion
Lei Gao, Rui Zhang, Lin Qi +2
The objective of multimodal information fusion is to mathematically analyze information carried in different sources and create a new representation which will be more effectively…
Online Behavioral Analysis with Application to Emotion State Identification
Lei Gao, Lin Qi, Ling Guan
In this paper, we propose a novel discriminative model for online behavioral analysis with application to emotion state identification. The proposed model is able to extract more d…