92 citations · 180 across the 12 of their papers we have counts for
7 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…
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…
A Scale and Rotational Invariant Key-point Detector based on Sparse Coding
Thanh Hong-Phuoc, Ling Guan
Most popular hand-crafted key-point detectors such as Harris corner, SIFT, SURF aim to detect corners, blobs, junctions or other human defined structures in images. Though being ro…
Locality Guided Neural Networks for Explainable Artificial Intelligence
Randy Tan, Naimul Khan, Ling Guan
In current deep network architectures, deeper layers in networks tend to contain hundreds of independent neurons which makes it hard for humans to understand how they interact with…
Machine Learning on Biomedical Images: Interactive Learning, Transfer Learning, Class Imbalance, and Beyond
Naimul Mefraz Khan, Nabila Abraham, Ling Guan
In this paper, we highlight three issues that limit performance of machine learning on biomedical images, and tackle them through 3 case studies: 1) Interactive Machine Learning (I…