2015 Eighth International Conference on Internet Computing for Science and Engineering (ICICSE)最新文献_第2页

The Improved Variable Length Counting Bloom Filter Based on Buffer 基于缓冲器的改进变长计数布隆滤波器

2015 Eighth International Conference on Internet Computing for Science and Engineering (ICICSE) Pub Date : 2015-11-06 DOI: 10.1109/ICICSE.2015.23

Shichang Xuan, Dapeng Man, Wei Wang, Wu Yang

引用次数: 1

Occluded Face Detection Based on Adaboost Technology 基于Adaboost技术的遮挡人脸检测

2015 Eighth International Conference on Internet Computing for Science and Engineering (ICICSE) Pub Date : 2015-11-06 DOI: 10.1109/ICICSE.2015.26

Hua Wang, Xin Gu, Xiao Li, Zhe Li, Jun Ni

引用次数: 5

A Teaching Model of Flipped Classroom Based on MOOC 基于MOOC的翻转课堂教学模式

2015 Eighth International Conference on Internet Computing for Science and Engineering (ICICSE) Pub Date : 2015-11-06 DOI: 10.1109/ICICSE.2015.56

Min Song, Ying Song, Zhengxian Wei

引用次数: 7

A QoS Aware Routing for Intermittently Connected Mobile Networks 面向间歇连接移动网络的QoS感知路由

2015 Eighth International Conference on Internet Computing for Science and Engineering (ICICSE) Pub Date : 2015-11-06 DOI: 10.1109/ICICSE.2015.44

Qingfeng Jiang, Chaoguang Men, Baoshan Zhang, Shuang Fu

引用次数: 2

A Dispatch Method of Complex Information System Based on Service-Oriented Architecture 基于面向服务体系结构的复杂信息系统调度方法

2015 Eighth International Conference on Internet Computing for Science and Engineering (ICICSE) Pub Date : 2015-11-06 DOI: 10.1109/ICICSE.2015.16

Yan Yan, Haierhan, Zhang Yao, Li Sijia

引用次数: 0

Research on Domain-Oriented Latent Policy Lineage Mining Method 面向领域的潜在策略谱系挖掘方法研究

2015 Eighth International Conference on Internet Computing for Science and Engineering (ICICSE) Pub Date : 2015-11-06 DOI: 10.1109/ICICSE.2015.27

Gang Liu, Wray L. Buntine, Xiaoxiao Yang, Weiping Fu

引用次数: 1

ISAR Imaging Based on SVA and Time Frequency Analysis 基于SVA和时频分析的ISAR成像

2015 Eighth International Conference on Internet Computing for Science and Engineering (ICICSE) Pub Date : 2015-11-06 DOI: 10.1109/ICICSE.2015.32

Zhiting Fei

引用次数: 1

Improved Collaborative Filtering Recommendation via Non-Commonly-Rated Items 改进的协同过滤推荐通过非共同评级的项目

2015 Eighth International Conference on Internet Computing for Science and Engineering (ICICSE) Pub Date : 2015-11-06 DOI: 10.1109/ICICSE.2015.20

Weijie Cheng, Guisheng Yin, Yuxin Dong, Hongbin Dong, Wansong Zhang

{"title":"Improved Collaborative Filtering Recommendation via Non-Commonly-Rated Items","authors":"Weijie Cheng, Guisheng Yin, Yuxin Dong, Hongbin Dong, Wansong Zhang","doi":"10.1109/ICICSE.2015.20","DOIUrl":"https://doi.org/10.1109/ICICSE.2015.20","url":null,"abstract":"Collaborative filtering (CF) in recommendation systems has made great success in making automatic score predictions by using users' ratings on commonly-rated items. However, due to data sparsity and cold starting, in real systems, common-rated items among users are often not sufficient for accurate recommendations when using CF. Besides, the implicit relationships between users contained in huge amount of non-commonly-rated items are rarely utilized. In this paper, a new CF recommendation taking users' implicit relationships hidden in users' ratings on non-commonly rated items into consideration is proposed. In this method, we provide an algorithm to infer users' preferences for their non-commonly rated items and then based on these preferences. We obtain users' similarities on their non-commonly rated items. With a dynamic adjusting weight adapted to non-commonly rated items' proportion in two users' all rated items, we combine the similarities with traditional similarities based on co-rated items. Experiments are conducted on the MovieLens dataset for comparing the proposed approach with the traditional user-based collaborative filtering algorithm. The results show that our approach improves the recommendation accuracy.","PeriodicalId":159836,"journal":{"name":"2015 Eighth International Conference on Internet Computing for Science and Engineering (ICICSE)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115045122","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: 1

Weighted Sub-block Mean-Shift Tracking with Improved Level Set Target Extraction 基于改进水平集目标提取的加权子块Mean-Shift跟踪

2015 Eighth International Conference on Internet Computing for Science and Engineering (ICICSE) Pub Date : 2015-11-06 DOI: 10.1109/ICICSE.2015.18

Xingmei Wang, Hongbin Dong, Yan Chu, Xiaowei Wang, Lin Li

{"title":"Weighted Sub-block Mean-Shift Tracking with Improved Level Set Target Extraction","authors":"Xingmei Wang, Hongbin Dong, Yan Chu, Xiaowei Wang, Lin Li","doi":"10.1109/ICICSE.2015.18","DOIUrl":"https://doi.org/10.1109/ICICSE.2015.18","url":null,"abstract":"Mean-shift tracking algorithm is a widely-used tool for efficiently tracking target. However, the background change and shade usually lead to tracking errors and low tracking accuracy. In this paper, we introduce a novel mean-shift tracking algorithm based on weighted sub-block which incorporates the improved level set target extraction. The weight of each sub-block is determined by the similarity of target and candidate sub-blocks, and by the ratio of the target sub-block and overall areas. The target sub-block area is calculated by the means of the narrow band level set combined with a compromise to improve extraction accuracy and operating efficiency. Both of RGB color information in the target region and the pixel's position information are taken into consideration while describing the feature model of target and candidate region inside each sub-block. Experimental results demonstrate the method's success for tracking of targets with background change and shade during the dynamic scene, where the basic mean-shift tracking algorithm fails. The proposed method has better tracking performance with higher tracking accuracy and adaptability.","PeriodicalId":159836,"journal":{"name":"2015 Eighth International Conference on Internet Computing for Science and Engineering (ICICSE)","volume":"2002 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125756874","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: 1

The Modified HR Calculus to Reproducing Kernel Hilbert Space and the Quaternion Kernel Least Mean Square Algorithm 核Hilbert空间再现的改进HR演算及四元数核最小均方算法

2015 Eighth International Conference on Internet Computing for Science and Engineering (ICICSE) Pub Date : 2015-11-06 DOI: 10.1109/ICICSE.2015.19

Wencui Xu, Dongpo Xu

引用次数: 0