2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)最新文献_第8页

Suitability of Real-Time Image under Complicated Environment Based on Contourlet in SMN 基于Contourlet的SMN实时图像在复杂环境下的适用性

2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2015-11-01 DOI: 10.1109/ISKE.2015.11

Yu Lu, Cheng Yongmei, Liu Xialei, Liu Nan

{"title":"Suitability of Real-Time Image under Complicated Environment Based on Contourlet in SMN","authors":"Yu Lu, Cheng Yongmei, Liu Xialei, Liu Nan","doi":"10.1109/ISKE.2015.11","DOIUrl":"https://doi.org/10.1109/ISKE.2015.11","url":null,"abstract":"Judging whether the real-time image under complicated environment is suitable is a challenging problem in scene matching navigation, which contributes to ensure the navigation precision and decrease computational complexity. This paper proposes a novel method for analyzing the suitability of real-time image under complicated environment based on Contourlet by taking advantage of the characteristic of multi-direction and multi-scale of Contourlet, where the complicated environment focus on motion blur, illumination variation, occlusion of cloud and fog. Firstly, real-time image is transformed on 4-layer Contourlet, and the obtained coefficients are parameterized by Generalized Gaussian Distribution, forming a 62 - dimension feature vector. Then the relationship between the feature vector and the objective evaluation index of suitability is trained by support vector machine, to build the prediction model of suitability of real-time image under complicated environment. Finally, experiments are performed on image database picked from Google Earth. The experiments clearly demonstrate that the proposed algorithm is simple but effective for real-time image quality assessment in scene matching navigation.","PeriodicalId":312629,"journal":{"name":"2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","volume":"41 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125885777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Appropriate Hidden Layers of Deep Belief Networks for Speech Recognition 用于语音识别的深度信念网络的适当隐藏层

2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2015-11-01 DOI: 10.1109/ISKE.2015.82

Quanshui Wei, Huaxiong Li, Xianzhong Zhou

引用次数: 2

A New Hypernetwork Model Based on Matrix Operation 一种基于矩阵运算的超网络模型

2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2015-11-01 DOI: 10.1109/ISKE.2015.24

Shengjiu Liu, Tianrui Li

引用次数: 3

Automatic Analysis of the Communication of Tourist Destination Brands through Social Networks 旅游目的地品牌通过社交网络传播的自动分析

2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2015-11-01 DOI: 10.1109/ISKE.2015.22

Antonio Moreno, M. Jabreel, A. Huertas

引用次数: 8

An Improved PSO Algorithm for Community Detection 一种改进的粒子群算法用于社团检测

2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2015-11-01 DOI: 10.1109/ISKE.2015.53

Chaotian Wu, Tianrui Li, Fei Teng, Xindi Chen

引用次数: 3

Research on Extract the Schema of Query Interfaces 查询接口模式提取的研究

2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2015-11-01 DOI: 10.1109/ISKE.2015.94

Hang Yu, Fei-yue Ye

引用次数: 3

Automated Object Extraction from MLS Data: A Survey 从MLS数据中自动提取目标:综述

2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2015-11-01 DOI: 10.1109/ISKE.2015.35

Chen Kun-yuan, Cheng Ming, Zhou Menglan, Chen Xinqu, Chen Yifei, L. Jonathan, Nie Hongshan

{"title":"Automated Object Extraction from MLS Data: A Survey","authors":"Chen Kun-yuan, Cheng Ming, Zhou Menglan, Chen Xinqu, Chen Yifei, L. Jonathan, Nie Hongshan","doi":"10.1109/ISKE.2015.35","DOIUrl":"https://doi.org/10.1109/ISKE.2015.35","url":null,"abstract":"Realistic 3D city modeling using Mobile Laser Scanning (MLS) technique experienced a remarkable revolution in aiding urban planning, regulation design, city management, navigation, and emergency responses. This paper focuses on thoroughly examining the advance of automated MLS object extraction techniques over the last five years. Categorized as either on-road or off-road, mainly six objects are included in this paper (road curbs, road markings, pavement cracks, building facades, pole-like objects and trees). MLS extraction techniques applied on typical objects is evaluated according to their method design, degree of automation, precision, and computational efficiency. Recent researches mostly focus on developing accurate object extraction algorithms and most of the reviewed methods can achieve high precision, however, optimizing the trade-off between computational cost and accuracy remains a big challenge. In addition, there is still no general standardized approach to deal with MLS objects extractions to date, most algorithms reviewed in this paper still need some artificial interference to ensure accuracy and efficiency.","PeriodicalId":312629,"journal":{"name":"2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","volume":"240 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132621192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Predicting Optimal Thread Quantity for SpMV Computation on Multi-core Platform 多核平台SpMV计算的最优线程数预测

2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2015-11-01 DOI: 10.1109/ISKE.2015.15

Yunlan Wang, Yan Zhang, Tianhai Zhao, Jianhua Gu, Lu Li, Wei Jian

引用次数: 0

Image Clustering Based on the Human Intelligence 基于人类智能的图像聚类

2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2015-11-01 DOI: 10.1109/ISKE.2015.39

Xintong Guo, Hong Gao, Hongzhi Wang

{"title":"Image Clustering Based on the Human Intelligence","authors":"Xintong Guo, Hong Gao, Hongzhi Wang","doi":"10.1109/ISKE.2015.39","DOIUrl":"https://doi.org/10.1109/ISKE.2015.39","url":null,"abstract":"Current clustering algorithms mainly base on calculating distance between items that provides similarity information. But the distance cannot reflect all the correct information between items, which may lead to significant errors. We study the problem of seeking pairwise constraints with crowdsourcing in order to improve clustering results. Crowdsourcing is an emerging and powerful paradigm, which enables the use of background knowledge collecting from users, and image clustering is a relevant and appropriate use case. We propose a framework bringing in human intelligence during the clustering process. The key point of the framework is to choose best questions to perform on the crowdsourcing platform, gather pairwise constraints, and melt the existing algorithm and human input together. As the computation is extensive, we also provide some heuristic optimal methods, including natural transitive relations, to reduce the number of HITs of asking people. We evaluate the framework on real image dataset. The experiment result demonstrates the algorithm achieves a fairly good performance comparing to the other state-of-theart methods, and the optimized strategies significantly reduce the number of HIT.","PeriodicalId":312629,"journal":{"name":"2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123083169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Stakeholder Analysis of Ecological Environment Protection Projects 生态环境保护项目的利益相关者分析

2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2015-11-01 DOI: 10.1109/ISKE.2015.69

Bin Luo, Xiaohong Liu, Yang Xu

引用次数: 0