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04/30/2023
Interpretability of Machine Learning: Recent Advances and Future Prospects
The proliferation of machine learning (ML) has drawn unprecedented inter...
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10/28/2021
ODMTCNet: An Interpretable Multi-view Deep Neural Network Architecture for Image Feature Representation
This work proposes an interpretable multi-view deep neural network archi...
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07/21/2021
ECG Heartbeat Classification Using Multimodal Fusion
Electrocardiogram (ECG) is an authoritative source to diagnose and count...
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05/28/2021
ECG Heart-beat Classification Using Multimodal Image Fusion
In this paper, we present a novel Image Fusion Model (IFM) for ECG heart...
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03/09/2021
A Discriminative Vectorial Framework for Multi-modal Feature Representation
Due to the rapid advancements of sensory and computing technology, multi...
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02/28/2021
A Complete Discriminative Tensor Representation Learning for Two-Dimensional Correlation Analysis
As an effective tool for two-dimensional data analysis, two-dimensional ...
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02/28/2021
Discriminative Multiple Canonical Correlation Analysis for Information Fusion
In this paper, we propose the Discriminative Multiple Canonical Correlat...
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02/27/2021
Online Behavioral Analysis with Application to Emotion State Identification
In this paper, we propose a novel discriminative model for online behavi...
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10/13/2020
A Scale and Rotational Invariant Key-point Detector based on Sparse Coding
Most popular hand-crafted key-point detectors such as Harris corner, SIF...
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07/12/2020
Locality Guided Neural Networks for Explainable Artificial Intelligence
In current deep network architectures, deeper layers in networks tend to...
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02/13/2019
Machine Learning on Biomedical Images: Interactive Learning, Transfer Learning, Class Imbalance, and Beyond
In this paper, we highlight three issues that limit performance of machi...
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02/07/2018
SCK: A sparse coding based key-point detector
All current popular hand-crafted key-point detectors such as Harris corn...
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11/29/2017
A Novel Image-centric Approach Towards Direct Volume Rendering
Transfer Function (TF) generation is a fundamental problem in Direct Vol...
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11/29/2017