Search Results for author: Ling Guan

Found 15 papers, 1 papers with code

Interpretability of Machine Learning: Recent Advances and Future Prospects

no code implementations30 Apr 2023 Lei Gao, Ling Guan

The proliferation of machine learning (ML) has drawn unprecedented interest in the study of various multimedia contents such as text, image, audio and video, among others.

Face Recognition Representation Learning

A GPU-accelerated Algorithm for Distinct Discriminant Canonical Correlation Network

no code implementations26 Sep 2022 Kai Liu, Lei Gao, Ling Guan

In this paper, a GPU-based accelerated algorithm is proposed to further optimize the DDCCANet algorithm.

Image Classification

ODMTCNet: An Interpretable Multi-view Deep Neural Network Architecture for Image Feature Representation

no code implementations28 Oct 2021 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 statistical machine learning (SML) principles with the deep neural network (DNN) architecture.

BIG-bench Machine Learning

ECG Heartbeat Classification Using Multimodal Fusion

1 code implementation21 Jul 2021 Zeeshan Ahmad, Anika Tabassum, Ling Guan, Naimul Khan

We achieved classification accuracy of 99. 7% and 99. 2% on arrhythmia and MI classification, respectively.

Classification Heartbeat Classification

ECG Heart-beat Classification Using Multimodal Image Fusion

no code implementations28 May 2021 Zeeshan Ahmad, Anika Tabassum, Naimul Khan, Ling Guan

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 manual feature extraction or direct utilization of 1D raw ECG signal.

Classification

A Discriminative Vectorial Framework for Multi-modal Feature Representation

no code implementations9 Mar 2021 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.

Audio Emotion Recognition Data Visualization +5

The Property of Frequency Shift in 2D-FRFT Domain with Application to Image Encryption

no code implementations28 Feb 2021 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.

Image Reconstruction

Discriminative Multiple Canonical Correlation Analysis for Information Fusion

no code implementations28 Feb 2021 Lei Gao, Lin Qi, Enqing Chen, Ling Guan

In this paper, we propose the Discriminative Multiple Canonical Correlation Analysis (DMCCA) for multimodal information analysis and fusion.

Emotion Recognition Handwritten Digit Recognition

The Labeled Multiple Canonical Correlation Analysis for Information Fusion

no code implementations28 Feb 2021 Lei Gao, Rui Zhang, Lin Qi, Enqing Chen, Ling Guan

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 utilized in pattern recognition and other multimedia information processing tasks.

Emotion Recognition Face Recognition +2

A Complete Discriminative Tensor Representation Learning for Two-Dimensional Correlation Analysis

no code implementations28 Feb 2021 Lei Gao, Ling Guan

This letter shows that the introduction of the complete discriminatory tensor representation strategy provides an effective vehicle for revealing, and extracting the discriminant representations across the 2D data sets, leading to improved results.

Representation Learning Vocal Bursts Valence Prediction

Online Behavioral Analysis with Application to Emotion State Identification

no code implementations27 Feb 2021 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.

A Scale and Rotational Invariant Key-point Detector based on Sparse Coding

no code implementations13 Oct 2020 Thanh Hong-Phuoc, Ling Guan

The SCK detector is flexible in different scenarios and fully invariant to affine intensity change, yet it is not designed to handle images with drastic scale and rotation changes.

Locality Guided Neural Networks for Explainable Artificial Intelligence

no code implementations12 Jul 2020 Randy Tan, Naimul Khan, Ling Guan

Heavily motivated by Self-Organizing Map (SOM), the goal is to enforce a local topology on each layer of a deep network such that neighbouring neurons are highly correlated with each other.

Explainable artificial intelligence Explainable Artificial Intelligence (XAI) +1

Machine Learning on Biomedical Images: Interactive Learning, Transfer Learning, Class Imbalance, and Beyond

no code implementations13 Feb 2019 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 (IML): we show how IML can drastically improve exploration time and quality of direct volume rendering.

BIG-bench Machine Learning Segmentation +1

SCK: A sparse coding based key-point detector

no code implementations7 Feb 2018 Thanh Hong-Phuoc, Yifeng He, Ling Guan

All current popular hand-crafted key-point detectors such as Harris corner, MSER, SIFT, SURF... rely on some specific pre-designed structures for the detection of corners, blobs, or junctions in an image.

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