2009 IEEE-RIVF International Conference on Computing and Communication Technologies最新文献_第3页

Building Lexical Resources: Towards Programmable Contributive Platforms 构建词汇资源:迈向可编程的贡献平台

2009 IEEE-RIVF International Conference on Computing and Communication Technologies Pub Date : 2009-07-13 DOI: 10.1109/RIVF.2009.5174629

Mathieu Mangeot, Hong-Thai Nguyen

{"title":"Building Lexical Resources: Towards Programmable Contributive Platforms","authors":"Mathieu Mangeot, Hong-Thai Nguyen","doi":"10.1109/RIVF.2009.5174629","DOIUrl":"https://doi.org/10.1109/RIVF.2009.5174629","url":null,"abstract":"Lexical resources are very important in nowadays society, with the globalization and the increase of world communi- cation and exchanges. There are clearly identified needs, both for humans and machines. Nevertheless, very few efforts are actually done in this domain. Consequently, there is an important lack of freely available good quality resources, especially for under- resourced languages. Furthermore, the majority of existing bilin- gual dictionaries is built with one language as English. Therefore, if one wants to translate from one language (that is not English) to another, it uses English as a pivot. And even for English native speakers, it creates a lot of misunderstandings that can be critical in many situations. In order to create and extend freely available good quality rich lexical resources for under-resourced languages online with a community of voluntary contributors, Jibiki, an online generic platform for managing (lookup, editing, import, export) any kind of lexical resources encoded in XML, has been developed. This platform is successfully used in several dictionary construction projects. Concerning the data, a serious game has been launched in order to collect precious lexical information such as collocations that will be integrated later into dictionary entries. Work is now done on extending our platform in order to reuse the resulting resources and enriching them by synchronization with the other systems (language learners and translators environments, machine translation systems, etc.).","PeriodicalId":243397,"journal":{"name":"2009 IEEE-RIVF International Conference on Computing and Communication Technologies","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124643580","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: 9

A New Approach To Accent Restoration Of Vietnamese Texts Using Dynamic Programming Combined With Co-Occurrence Graph 结合共现图的动态规划越南语文本重音恢复新方法

2009 IEEE-RIVF International Conference on Computing and Communication Technologies Pub Date : 2009-07-13 DOI: 10.1109/RIVF.2009.5174609

Ho Trong Nghia, Do Phuc

引用次数: 4

BB84 Implementation and Computer Reality BB84 实现与计算机现实

2009 IEEE-RIVF International Conference on Computing and Communication Technologies Pub Date : 2009-07-13 DOI: 10.1109/RIVF.2009.5174626

P. Bellot, Minh-Dung Dang

引用次数: 10

Enhancing Optical Signal-to-Noise Ratio in Terrestrial Cascaded EDFAs Fiber Optic Communication Links using Hybrid Fiber Amplifier 利用混合光纤放大器提高地面级联EDFAs光纤通信链路的光信噪比

2009 IEEE-RIVF International Conference on Computing and Communication Technologies Pub Date : 2009-07-13 DOI: 10.1109/RIVF.2009.5174638

T. N. Van, H. Viet

引用次数: 3

Trouble Dashboard: A Distributed Failure Monitoring System for High-End Computing 故障仪表盘:用于高端计算的分布式故障监测系统

2009 IEEE-RIVF International Conference on Computing and Communication Technologies Pub Date : 2009-07-13 DOI: 10.1109/RIVF.2009.5174661

Thanh Do, Thuy Nguyen, D. Nguyen, H. Nguyen, Weisong Shi

引用次数: 0

An Efficient Algorithm for Fingerprint Reference-Point Detection 一种高效的指纹参考点检测算法

2009 IEEE-RIVF International Conference on Computing and Communication Technologies Pub Date : 2009-07-13 DOI: 10.1109/RIVF.2009.5174620

Hoang Thien Van, T. Le

引用次数: 17

Improving Freenet's Performance by Adaptive Clustering Cache Replacement 通过自适应集群缓存替换提高Freenet的性能

2009 IEEE-RIVF International Conference on Computing and Communication Technologies Pub Date : 2009-07-13 DOI: 10.1109/RIVF.2009.5174645

D. Nguyen, Bach Le Nguyen, Duy Loi Vu

引用次数: 2

Eigen and Fisher Barycenter Contour for 2D Shape Classification 二维形状分类的Eigen和Fisher重心轮廓

2009 IEEE-RIVF International Conference on Computing and Communication Technologies Pub Date : 2009-07-13 DOI: 10.1109/RIVF.2009.5174637

Kosorl Thourn, Y. Kitjaidure, S. Kondo

引用次数: 2

A Robust Framework for Visual Object Tracking 视觉目标跟踪的鲁棒框架

2009 IEEE-RIVF International Conference on Computing and Communication Technologies Pub Date : 2009-07-13 DOI: 10.1109/RIVF.2009.5174611

N. Binh

{"title":"A Robust Framework for Visual Object Tracking","authors":"N. Binh","doi":"10.1109/RIVF.2009.5174611","DOIUrl":"https://doi.org/10.1109/RIVF.2009.5174611","url":null,"abstract":"Visual object tracking is an important problem in computer vision. Recent proposed tracking methods based on online learning a discriminative classifier have drawn considerable interest. However, most of existing approaches make a simple assumption about initializing the object to be tracked; on-line adaptation of binary classifier only has to discriminate the current object from its surrounding background can lead to tracking failure (drifting) without a recovering. This paper presents a novel framework for robust object tracking. The system comprises of a strong learned object detector incorporation with an online adaptation tracking mechanism. The main contributions are: (1) an efficient visual object learning algorithm based on online boosting, which provides a reliable object detector for the tracking process; (2) a robust strategy to deal with tracking failures and recovery of such failures. Our idea is to incorporate decision of given by the prior learned strong detector and an on-line boosting tracker. This allows almost completely avoiding the drifting problem in tracking. Complex object can be learned and the object is initiated automatically at its first appearance. Moreover, the distinct advantage is we can almost completely make sure that the object is always detected and tracked when it appears; the abruption is also detected and failure will be recovered by re-detecting the object. The online adaptation tracker monitors the whole process and gives output of the system. In the intensive set of experiments on challenging data set for several applications, we demonstrate the out performance of our framework over very recent proposed approaches.","PeriodicalId":243397,"journal":{"name":"2009 IEEE-RIVF International Conference on Computing and Communication Technologies","volume":"163 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123557816","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: 8

Connectivity Awareness in Networked Robotic Systems 网络机器人系统中的连通性感知

2009 IEEE-RIVF International Conference on Computing and Communication Technologies Pub Date : 2009-07-13 DOI: 10.1109/RIVF.2009.5174632

Van Tuan Le, N. Bouraqadi, Serge Stinckwich, Victor Moraru

引用次数: 0