31 Result(s)
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Chapter and Conference Paper
Multi-view Emotion Recognition Using Deep Canonical Correlation Analysis
Emotion is a subjective, conscious experience when people face different kinds of stimuli. In this paper, we adopt Deep Canonical Correlation Analysis (DCCA) for high-level coordinated representation to make f...
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Chapter and Conference Paper
A Secure Color-Code Key Exchange Protocol for Mobile Chat Application
This paper proposes a secure color-code key exchange protocol for secure mobile chat applications (MC APPs). This proposed protocol in this paper is a novel approach which the exchanged color-code coding sessi...
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Chapter and Conference Paper
Classification of Schizophrenia Patients and Healthy Controls Using ICA of Complex-Valued fMRI Data and Convolutional Neural Networks
Deep learning has contributed greatly to functional magnetic resonance imaging (fMRI) analysis, however, spatial maps derived from fMRI data by independent component analysis (ICA), as promising biomarkers, ha...
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Chapter and Conference Paper
A Deep Learning Approach to Detecting Changes in Buildings from Aerial Images
Detecting building changes via aerial images acquired at different times is important in the urban planning and geographic information updating. Deep learning solutions have high potential in improving detecti...
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Chapter and Conference Paper
Canonical Polyadic Decomposition with Constant Modulus Constraint: Application to Polarization Sensitive Array Processing
We consider the joint estimation of direction-of-arrival (DOA) and polarization of constant modulus (CM) signals based on a polarization sensitive array. We propose an algebraic algorithm for canonical polyadi...
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Chapter and Conference Paper
Marginal Spectrum Modulated Hilbert-Huang Transform: Application to Time Courses Extracted by Independent Vector Analysis of Resting-State fMRI Data
Hilbert-Huang transform (HHT) can reveal abnormal activations impacted by mental disorders from regions of interest (ROIs) based functional magnetic resonance imaging (fMRI) data with high temporal and frequen...
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Chapter and Conference Paper
The Downhole Wireless Monitoring in Well Testing
In order to improve the safety, precision and controllability of well testing in the complex deep wells and shale gas wells, The downhole Wireless monitoring platform, which is based on wireless transmission t...
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Chapter and Conference Paper
Hyper-heuristic Ant Colony Optimization Algorithm for Multi-objective Two-Echelon Vehicle Routing Problem with Time Windows
In this paper, a hyper-heuristic ant colony optimization algorithm (HHACOA) is proposed to solve the multi-objective two-echelon vehicle routing problem with time windows (MO2E-VRPTW). Minimizing the total car...
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Chapter and Conference Paper
Diff-Writer: A Diffusion Model-Based Stylized Online Handwritten Chinese Character Generator
Online handwritten Chinese character generation is an interesting task which has gained more and more attention in recent years. Most of the previous methods are based on autoregressive models, where the traje...
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Chapter and Conference Paper
Extraction of One Time Point Dynamic Group Features via Tucker Decomposition of Multi-subject FMRI Data: Application to Schizophrenia
Group temporal and spatial features of multi-subject fMRI data are essential for studying mental disorders, especially those exhibiting dynamic properties of brain function. Taking advantages of a low-rank Tuc...
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Chapter and Conference Paper
An Intelligent Depth Correction Method for Logging Curves Based on Pearson Correlation Coefficient and DTW
A key step in the exploration and development of oil and gas fields in the oil and gas industry is to measure various geophysical parameters along the well depth by means of logging equipment. These measuremen...
