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Chapter and Conference Paper
Research on Radar Target Detection Method Based on the Combination of MSER and Deep Learning
Aiming at the problems that arine radar cannot automatically output targets and is difficult to deal with false echoes, this paper adopts the method combining MSER and deep learning to detect radar echoes base...
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Chapter and Conference Paper
Combined General Vector Machine for Single Point Electricity Load Forecast
General Vector Machine (GVM) is a newly proposed machine learning model, which is applicable to small samples forecast scenarios. In this paper, the GVM is applied into electricity load forecast based on singl...
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Chapter and Conference Paper
The Taboos of Taiwaness Ghost Month
Virtual reality has become a trending technology in recent years. Owing to technological development, folk customs are no longer valued by younger generation. Therefore, by combining the main factors of “trad...
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Chapter and Conference Paper
Research on Offline Transaction Model in Mobile Payment System
Mobile payment is a killer wireless network service in the e-commerce. Currently, the typical e-commerce modes based on mobile payment still encounter the problems to meet consumers’ daily needs such as: suppo...
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Chapter and Conference Paper
A Lightweight Evaluation Framework for Table Layouts in MapReduce Based Query Systems
Table layout determines the way how the relational row-column data values are organized and stored. In recent years, considerable candidates have been developed in MapReduce based query systems; they differ on...
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Chapter and Conference Paper
An Enhancing K-Means Algorithm Based on Sorting and Partition
The accuracy and efficiency as the two main evaluation indexes for k-means algorithm are influenced by the choice of initial clustering centers and the partition method of data points. In this paper, in view o...
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Chapter and Conference Paper
Grid Scheduling Optimization Under Conditions of Uncertainty
One of the biggest challenges in building grid schedulers is how to deal with the uncertainty in what future computational resources will be available. Current techniques for Grid scheduling rarely account for...
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Chapter and Conference Paper
Sequential Pattern-Based Cache Replacement in Servlet Container
Servlet cache can effectively improve the throughput and reduce response time experienced by customers in servlet container. An essential issue of servlet cache is cache replacement. Traditional solutions such...
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Chapter and Conference Paper
Film Narrative Exploration Through the Analysis of Aesthetic Elements
In this paper, we propose a novel method for performing high-level narrative structure extraction of films. Our objective is to utilize the knowledge of film production for analyzing and extracting the structu...
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Chapter and Conference Paper
Effective Visualisation of Workflow Enactment
Although most existing teamwork management systems support user-friendly interface to some extent, few of them have take into consideration of the special requirements of workflow visualisation. This paper rea...
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Chapter and Conference Paper
Multiple-Person Tracking System for Content Analysis
This paper presents a framework to track multiple persons in realtime. First, a method with real-time and adaptable capability is proposed to extract face-like regions based on skin, motion, and silhouette fea...
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Chapter and Conference Paper
Robust Face Recognition with Light Compensation
This paper proposes a face recognition method which is based on a Generalized Probabilistic Descent (GPD) learning rule with a three-layer feedforward network. This method aims to recognize faces in a loosely ...
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Chapter and Conference Paper
Similarity Retrieval in Image Databases by Boosted Common Shape Features Among Query Images
We present an on-line query mechanism for shape-based similarity retrieval of image databases. It successively boosts salient common features among query samples, in which weak classifiers are tuned and select...