no code implementations • 30 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.
no code implementations • 26 Sep 2022 • Kai Liu, Lei Gao, Ling Guan
In this paper, a GPU-based accelerated algorithm is proposed to further optimize the DDCCANet algorithm.
no code implementations • 28 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.
1 code implementation • 21 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.
no code implementations • 28 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.
no code implementations • 9 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.
no code implementations • 28 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.
no code implementations • 28 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.
no code implementations • 28 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.
no code implementations • 28 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.
no code implementations • 27 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.
no code implementations • 13 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.
no code implementations • 12 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
no code implementations • 13 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.
no code implementations • 7 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.