31 Result(s)
within
Conference Paper
Qiu-**ong Lin
-
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...
-
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...
-
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...
-
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...
-
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...
-
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...
-
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...
-
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...
-
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...
-
Chapter and Conference Paper
Comparison of Two Swarm Intelligence Algorithms: From the Viewpoint of Learning
It is always said that learning is at the core of intelligence. How does learning work in swarm intelligence algorithms (SIAs)? This paper tries to answer this question by analyzing the learning mechanisms in ...
-
Chapter and Conference Paper
Fusion of Laser Point Clouds and Color Images with Post-calibration
Fusion of laser point clouds and color images has a great advantage in the photogrammetry, computer vision, and computer graphics communities. Most of existing methods estimate the projection matrix for mappin...
-
Chapter and Conference Paper
Image Edge Detection for Stitching Aerial Images with Geometrical Rectification
Changes of the flight attitude of unmanned aircraft cause nonlinear distortion in the aerial images. Stitching these images without geometric rectification may cause the problem of mismatching. However, the ge...
-
Chapter and Conference Paper
Emotion Recognition Based on Gramian Encoding Visualization
This paper addresses the problem that emotional computing is difficult to be put into real practical fields intuitively, such as medical disease diagnosis and so on, due to poor direct understanding of physiol...
-
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...
-
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...
-
Chapter and Conference Paper
Comparison of Functional Network Connectivity and Granger Causality for Resting State fMRI Data
Functional network connectivity (FNC) and Granger causality have been widely used to identify functional and effective connectivity for resting functional magnetic resonance imaging (fMRI) data. However, the r...
-
Chapter and Conference Paper
Rapid Triangle Matching Based on Binary Descriptors
Geometric constraints have been widely applied to image matching to gain additional advantages over feature points. A rapid triangle matching (RTM) algorithm was such an algorithm for matching triangles formed...
-
Chapter and Conference Paper
CFD-DEM Simulation of Flocculation and Sedimentation of Cohesive Fine Particles
A numerical model coupling the discrete element method (DEM) and the computational fluid dynamics (CFD) was presented and applied to simulate particle flocculation and sedimentation processes. The volume-avera...
-
Chapter and Conference Paper
Clustering of MRI Radiomics Features for Glioblastoma Multiforme: An Initial Study
This paper proposed a radiomics model from magnetic resonance imaging (MRI) for Glioblastoma Multiforme (GBM) patients. One challenge of radiomics study is to reduce the redundancy of the features. Totally 466...
-
Chapter and Conference Paper
Application and Comparison of Discovery Model and Others in Petroleum Resource Assessment
The lognormal discovery process model (LDP) has been applied in China’s third national resource assessment to assess petroleum resource potential in maturely explored basins containing a total of 123 mature pe...
