58 Result(s)
within
English
Computer Science
Image Processing and Computer Vision
Information Systems Applications (incl. Internet)
**g-** Ge
Chapter
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Chapter and Conference Paper
Elastic Algorithm: A New Path Planning Algorithm About Auto-navigation in 3D Virtual Scene
Elastic Algorithm proposed in this paper is a new and fast path planning algorithm to solve the problem of auto-navigation in 3D virtual scene. First, with a grid model based representation of virtual environm...
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Chapter and Conference Paper
Classifying Motion Time Series Using Neural Networks
This paper proposes an effective time-series classification model based on the Neural Networks. Classification under this model consists of three phases, namely data preprocessing, training, and testing. The main...
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Chapter and Conference Paper
Color 3D Digital Human Modeling and Its Applications to Animation and Anthropometry
With the rapid advancement in laser technology, computer vision, and embedded computing, the application of laser scanning to the digitization of three dimensional physical realities has become increasingly wi...
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Chapter and Conference Paper
Synthetic Finger Phalanx with Lifelike Skin Compliance
Touching for prosthetics and social robotics is important for functional and social reasons. Current synthetic finger designs, however, are too stiff when compared to the human touch. We ask whether it would b...
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Chapter and Conference Paper
Adaptive Compliance Control for Collision-Tolerant Robot Arm with Viscoelastic Trunk
In the present work, a collision-tolerant control method was proposed to achieve a stable task performance of the robot arm in an acceptable collision-safe margin. A robot arm covered with the soft capacitive ...
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Chapter and Conference Paper
An Improved EDP Algorithm to Privacy Protection in Data Mining
In this paper, we propose an improved pruning algorithm with memory, which we call improved EDP algorithm. This method provides the better trade-off between data quality and privacy protection against classifi...
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Chapter and Conference Paper
Adaptive Rank Transform for Stereo Matching
Window selection is the main challenge for local stereo matching methods based on the rank transform and it involves two aspects : the rank window selection and the match window selection. Most recent methods ...
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Chapter and Conference Paper
Application of an Improved Fisher Criteria in Feature Extraction of Similar ECG Patterns
The abnormal changes of myocardial infarction (MI) appeared in Electrocardiogram (ECG) are low-level signals. The patterns to represent MI ECGs are usually extremely similar between different classes. In addit...
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Chapter and Conference Paper
A Preliminary Study Using Granular Computing for Remote Sensing Image Segmentation Involving Roughness
Granular computing partitions the universe into granules, allowing for their further analysis. For several years granular computing has been used to address problems in the field of machine learning, image ana...
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Chapter and Conference Paper
Study on UAV Video Reconnaissance Based Adaptively Tracking Algorithm for the Ground Moving Target
In this paper, the problem of adaptive tracking for the Ground Moving Target (GMT) based on Unmanned Aerial Vehicle (UAV) reconnaissance video is addressed. More specifically, motion model and observation mode...
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Chapter and Conference Paper
Towards Adaptive Classification of Motor Imagery EEG Using Biomimetic Pattern Recognition
This paper implements Biomimetic Pattern Recognition (BPR) into the adaptive classification of motor imagery EEG data by introducing three adaptive operators. The adaptive BPR works well when facing the proble...
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Chapter and Conference Paper
Adaptive Step Searching for Solving Stochastic Point Location Problem
A novel algorithm named Adaptive Step Searching (ASS) is presented in the paper to solve the stochastic point location (SPL) problem. In the conventional method [1] for the SPL problem, the tradeoff between th...
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Chapter and Conference Paper
Learning Automata Based Cooperative Student-Team in Tutorial-Like System
A novel learning automata (LA) based cooperative student-team in tutorial-like system is presented in this paper. The students in our system are modeled using LA. The new philosophy of a student is that he acq...
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Chapter and Conference Paper
Noise Face Image Hallucination via Data-Driven Local Eigentransformation
Face hallucination refers to inferring an High-Resolution (HR) face image from the input Low-Resolution (LR) one. It plays a vital role in LR face recognition by both manual and computer. The eigentransformati...
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Chapter and Conference Paper
A New Radiation Correction Method for Remote Sensing Images Based on Change Detection
As an important remote sensing image pre-processing method, radiation correction is essential to reduce deviation introduced by environment factors, especially for tasks such as image compression, image fusion...
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Chapter and Conference Paper
Interactive RGB-D Image Segmentation Using Hierarchical Graph Cut and Geodesic Distance
In this paper, we propose a novel interactive image segmentation method for RGB-D images using hierarchical Graph Cut. Considering the characteristics of RGB channels and depth channel in RGB-D image, we utili...
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Chapter and Conference Paper
A New Learning Automata Algorithm for Selection of Optimal Subset
A new class of learning automata for the purpose of learning the optimal subset of actions has been proposed to fulfill the demand of application such as allocation and global optimization. Learning automata a...
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Chapter and Conference Paper
Condition Monitoring for Image-Based Visual Servoing Using Kalman Filter
In image-based visual servoing (IBVS), the control law is based on the error between the current and desired features on the image plane. The visual servoing system is working well only when all the designed f...
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Chapter and Conference Paper
Efficiency and Effectiveness Metrics in Evolutionary Algorithms and Their Application
Efficiency and effectiveness are two important metrics for the evaluation of evolutionary algorithms (EAs). Firstly, there exist a number of efficiency metrics in EA, such as population size, number of termina...
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Chapter and Conference Paper
Sleep Stages Classification Using Neural Networks with Multi-channel Neural Data
Recent studies on sleep reveal its importance not only on body functioning but also in brain and cognition health. As the development of wearable smart devices, neural data such as electroencephalogram (EEG) b...
