24 Result(s)
within
**n-Wen Wang
English
Artificial Intelligence
Image Processing and Computer Vision
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Chapter and Conference Paper
New Operators for Faster Convergence and Better Solution Quality in Modified Genetic Algorithm
The aim of this paper is to study two new forms of genetic operators: duplication and fabrication. Duplication is a reproduce procedure that will reproduce the best fit chromosome from the elite base. The intr...
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Chapter and Conference Paper
Evolving Case-Based Reasoning with Genetic Algorithm in Wholesaler’s Returning Book Forecasting
In this paper, a hybrid system is developed by evolving Case-Based Reasoning (CBR) with Genetic Algorithm (GA) for reverse sales forecasting of returning books. CBR systems have been successfully applied in se...
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Chapter and Conference Paper
Fuzzy Back-Propagation Network for PCB Sales Forecasting
Reliable prediction of sales can improve the quality of business strategy. In this research, fuzzy logic and artificial neural network are integrated into the fuzzy back-propagation network (FBPN) for printed ...
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Chapter and Conference Paper
Mining Sequential Patterns in Large Datasets
A novel algorithm FFSPAN (Fast Frequent Sequential Pattern mining algorithm) is proposed in this paper. FFSPAN mines all the frequent sequential patterns in large datasets, and solves the problem of searching fre...
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Chapter and Conference Paper
Combining SOM and GA-CBR for Flow Time Prediction in Semiconductor Manufacturing Factory
Flow time of semiconductor manufacturing factory is highly related to the shop floor status; however, the processes are highly complicated and involve more than hundred of production steps. Therefore, a simula...
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Chapter and Conference Paper
Hybrid Self-Organizing Map and Neural Network Clustering Analysis for Technology Professionals Turnover Rate Forecasting
This research applies clustering analysis technology of data mining to predict trend of the Technology Professionals turnover rate, including SOM (Self-Organizing Map) combined with Artificial Neural Network c...
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Chapter and Conference Paper
An Image-Aided Diagnosis System for Dementia Classification Based on Multiple Features and Self-Organizing Map
Mild cognitive impairment (MCI) is considered as a transitional stage between normal aging and dementia. MCI has a high risk to convert into Alzheimer’s disease (AD). In the related research, the volumetric an...
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Article
Gene selection using independent variable group analysis for tumor classification
Microarrays are capable of detecting the expression levels of thousands of genes simultaneously. So, gene expression data from DNA microarray are characterized by many measured variables (genes) on only a few ...
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Chapter and Conference Paper
Plant Classification Based on Multilinear Independent Component Analysis
Plant classification is very important and necessary with respect to agricultural informization, ecological protection and plant automatic classification system. In this paper, we present a multilinear indepen...
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Article
Parameter optimization of etching process for a LGP stamper
This study proposes a two-stage system to optimize the etching process parameter for making a light guide plate (LGP) stamper. The multi-quality characteristics of the parameter settings include depth and unif...
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Chapter and Conference Paper
A Shilling Attack Detection Method Based on SVM and Target Item Analysis in Collaborative Filtering Recommender Systems
The open nature of recommender systems makes them vulnerable to shilling attacks. Biased ratings are introduced in order to affect recommendations, have been shown to cause great harm to collaborative filterin...
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Chapter and Conference Paper
Personalized Recommendation System Based on Support Vector Machine and Particle Swarm Optimization
Personalized recommendation system (PRS) is an effective tool to automatically extract meaningful information from the big data of the users. Collaborative filtering is one of the most widely used personalized...
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Chapter and Conference Paper
Joint Visualization of UKF Tractography Data
Tractography methods provide ways to explore white mater in brain. UKF Tractography is a promising one in processing cross fibers and edema regions. In order to get more insight into UKF tractography, we prese...
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Chapter and Conference Paper
VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results
Object detection is a hot topic with various applications in computer vision, e.g., image understanding, autonomous driving, and video surveillance. Much of the progresses have been driven by the availability of ...
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Chapter and Conference Paper
VisDrone-SOT2018: The Vision Meets Drone Single-Object Tracking Challenge Results
Single-object tracking, also known as visual tracking, on the drone platform attracts much attention recently with various applications in computer vision, such as filming and surveillance. However, the lack o...
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Chapter and Conference Paper
Segmenting Crop Disease Leaf Image by Modified Fully-Convolutional Networks
Crop disease leaf image segmentation is an important and challenging step, because the disease leaf image and corresponding lesions are often complex, various, and variant, and the segmenting results directly ...
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Chapter and Conference Paper
Indoor Navigation Based on a Gait Recognition and Counting Scheme
GPS satellite positioning is currently a system used by people for navigation. As urban buildings become larger and their internal usages more diverse, the internal structure of the buildings turns into comple...
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Chapter and Conference Paper
Finger Vein Image Registration Based on Genetic Algorithm
Finger vein recognition technology is an emerging biometric identification technology that utilizes the distribution structure of venous blood vessels to achieve identification. The vein recognition process is...
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Article
On large appearance change in visual tracking
This paper concerns on overcoming the challenges caused by drastic appearance change in visual tracking, especially the long-term appearance variation due to occlusion or large object deformation. We aim to bu...
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Article
Just Recognizable Distortion for Machine Vision Oriented Image and Video Coding
Machine visual intelligence has exploded in recent years. Large-scale, high-quality image and video datasets significantly empower learning-based machine vision models, especially deep-learning models. However...
