2014 International Conference on Orange Technologies最新文献_第4页

Solving TSP by dismantling cross paths 通过拆除交叉路径解决TSP

2014 International Conference on Orange Technologies Pub Date : 2014-11-20 DOI: 10.1109/ICOT.2014.6956614

Yongsheng Pan, Yong Xia

引用次数: 7

A multistep liver segmentation strategy by combining level set based method with texture analysis for CT images 基于水平集和纹理分析相结合的CT图像肝脏多步分割策略

2014 International Conference on Orange Technologies Pub Date : 2014-11-20 DOI: 10.1109/ICOT.2014.6956611

Dengwang Li, Li Liu, Jinhu Chen, Hongsheng Li, Yong Yin

引用次数: 2

Auditory-based robust speech recognition system for ambient assisted living in smart home 基于听觉的智能家居环境辅助生活鲁棒语音识别系统

2014 International Conference on Orange Technologies Pub Date : 2014-11-20 DOI: 10.1109/ICOT.2014.6956626

Hsien-Shun Kuo, Po-Hsun Sung, Sheng-Chieh Lee, Ta-Wen Kuan, Jhing-Fa Wang

引用次数: 2

Facet-based trend modeling for cold start of recommendation in social media 基于人脸的社交媒体冷启动推荐趋势建模

2014 International Conference on Orange Technologies Pub Date : 2014-11-20 DOI: 10.1109/ICOT.2014.6956615

Chen Chen, Hou Chunyan, Yu Xiaojie

{"title":"Facet-based trend modeling for cold start of recommendation in social media","authors":"Chen Chen, Hou Chunyan, Yu Xiaojie","doi":"10.1109/ICOT.2014.6956615","DOIUrl":"https://doi.org/10.1109/ICOT.2014.6956615","url":null,"abstract":"Recommendation systems have been widely used in social media. One of recommendation tasks in social media is to provide relevant messages for users. Although many models have been proposed, how to make accurate recommendation for new users with little historical information still remains a big challenge, which is called the cold start problem. In order to address this problem, many models have been proposed, which use information of social media to improve the recommendation performance. However, lack of such versatility limits the successful application of these models. In this study, we propose an effective facet-based trend model to describe the trend interests of the entire user community in social media. Trend facet is the probability distribution of all users' preference to an attribute. In contrast to the general feature, the facet stems from the users' history and captures the interests to the attribute in social media. We evaluate our models in the context of personalized ranking of microblogs. Experiments on real-world data show that trend modeling can alleviate the cold start problem significantly. In addition, we compare the performance of user modeling and trend modeling, and find that user modeling outperforms trending model and the impact is slightly negative when combining trend modeling with user modeling.","PeriodicalId":343641,"journal":{"name":"2014 International Conference on Orange Technologies","volume":"268 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131475503","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

A fuzzy clustering algorithm via enhanced spatially constraint for brain MR image segmentation 基于增强空间约束的模糊聚类脑磁共振图像分割算法

2014 International Conference on Orange Technologies Pub Date : 2014-11-20 DOI: 10.1109/ICOT.2014.6956610

Zexuan Ji, Jinyao Liu, Guannan Li

引用次数: 1

Multispectral images based bridge detection method with RX detector 基于多光谱图像的RX检测器桥检测方法

2014 International Conference on Orange Technologies Pub Date : 2014-11-20 DOI: 10.1109/ICOT.2014.6954693

Wei Wei, Yanning Zhang, Lei Zhang, Hangqi Yan, Bobo Wang

引用次数: 1

A fusion algorithm of PET-CT based on dual-tree complex wavelet transform and self-adaption Gaussian membership function 基于双树复小波变换和自适应高斯隶属函数的PET-CT融合算法

2014 International Conference on Orange Technologies Pub Date : 2014-11-20 DOI: 10.1109/ICOT.2014.6956638

Xingyu Wei, T. Zhou, Huiling Lu

引用次数: 2

Frowning expression detection based on SOBEL filter for negative emotion recognition 基于SOBEL滤波的皱眉表情检测及其负面情绪识别

2014 International Conference on Orange Technologies Pub Date : 2014-11-20 DOI: 10.1109/ICOT.2014.6956627

Shu-Chiang Chung, S. Barma, Ta-Wen Kuan, Ting-Wei Lin

{"title":"Frowning expression detection based on SOBEL filter for negative emotion recognition","authors":"Shu-Chiang Chung, S. Barma, Ta-Wen Kuan, Ting-Wei Lin","doi":"10.1109/ICOT.2014.6956627","DOIUrl":"https://doi.org/10.1109/ICOT.2014.6956627","url":null,"abstract":"This paper proposes a novel method to improve happiness status by detection negative emotional status based on frowning lines on face and a new term called facial expression factor (FEF). The FEF correlates the frowning and with emotional status. The frowning lines are detected using SOBEL filter and FEF factors are calculated from selected frowning lines to know the actual emotional status. Thus the negative emotional state are detected which could help to promote the happiness further. The experiment is conducted on 10 participants. In total 40 images (including 20 neutral and 20 frowning expression) are considered for experiment. The results show that the emotional status of 8 persons out of 10 participants is recognized correctly. Further, the wrong recognition results are corrected by tuning the threshold. Hence, the results depict the recognition accuracy up to 80%. The proposed work is based on simple training which also reduces the training time cost effectively. Furthermore, the proposed method is able to detect more complex facial expression (e.g., forced smile) using FEF. The tuning of threshold makes the method more effective. Therefore, such results show its effectiveness by detecting negative emotional state to promote the happiness.","PeriodicalId":343641,"journal":{"name":"2014 International Conference on Orange Technologies","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129388518","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: 5

Online object tracking based on L1-loss SVMs with motion constraints 基于运动约束的l1损失支持向量机在线目标跟踪

2014 International Conference on Orange Technologies Pub Date : 2014-11-20 DOI: 10.1109/ICOT.2014.6956599

Tao Zhuo, Peng Zhang, Yanning Zhang, Wei Huang

引用次数: 0

Builing the Moble App system of postive social coummity by using social capital theory 运用社会资本理论构建积极社会社区的手机App系统

2014 International Conference on Orange Technologies Pub Date : 2014-11-20 DOI: 10.1109/ICOT.2014.6956639

H. Huang, Tsung-Han Hsieh

引用次数: 0