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101.
As a result of the reduced costs of processing power and computer storage and the improvement in speech compression techniques, many new computer-based voice products have appeared. Of these, voice messaging is likely to have the most immediate impact. An explanation of the concepts involved in voice messaging systems is presented, and comparisons are made with conventional text and telephone communications systems. Some of the benefits of voice messaging systems and the ways in which they could be developed are outlined.  相似文献   
102.
Traditionally, direct marketing companies have relied on pre-testing to select the best offers to send to their audience. Companies systematically dispatch the offers under consideration to a limited sample of potential buyers, rank them with respect to their performance and, based on this ranking, decide which offers to send to the wider population. Though this pre-testing process is simple and widely used, recently the industry has been under increased pressure to further optimize learning, in particular when facing severe time and learning space constraints. The main contribution of the present work is to demonstrate that direct marketing firms can exploit the information on visual content to optimize the learning phase. This paper proposes a two-phase learning strategy based on a cascade of regression methods that takes advantage of the visual and text features to improve and accelerate the learning process. Experiments in the domain of a commercial Multimedia Messaging Service (MMS) show the effectiveness of the proposed methods and a significant improvement over traditional learning techniques. The proposed approach can be used in any multimedia direct marketing domain in which offers comprise both a visual and text component.
Giuseppe TribulatoEmail:

Sebastiano Battiato   was born in Catania, Italy, in 1972. He received the degree in Computer Science (summa cum laude) in 1995 and his Ph.D in Computer Science and Applied Mathematics in 1999. From 1999 to 2003 he has lead the “Imaging” team c/o STMicroelectronics in Catania. Since 2004 he works as a Researcher at Department of Mathematics and Computer Science of the University of Catania. His research interests include image enhancement and processing, image coding and camera imaging technology. He published more than 90 papers in international journals, conference proceedings and book chapters. He is co-inventor of about 15 international patents. He is reviewer for several international journals and he has been regularly a member of numerous international conference committees. He has participated in many international and national research projects. He is an Associate Editor of the SPIE Journal of Electronic Imaging (Specialty: digital photography and image compression). He is director of ICVSS (International Computer Vision Summer School). He is a Senior Member of the IEEE. Giovanni Maria Farinella   is currently contract researcher at Dipartimento di Matematica e Informatica, University of Catania, Italy (IPLAB research group). He is also associate member of the Computer Vision and Robotics Research Group at University of Cambridge since 2006. His research interests lie in the fields of computer vision, pattern recognition and machine learning. In 2004 he received his degree in Computer Science (egregia cum laude) from University of Catania. He was awarded a Ph.D. (Computer Vision) from the University of Catania in 2008. He has co-authored several papers in international journals and conferences proceedings. He also serves as reviewer numerous international journals and conferences. He is currently the co-director of the International Summer School on Computer Vision (ICVSS). Giovanni Giuffrida   is an assistant professor at University of Catania, Italy. He received a degree in Computer Science from the University of Pisa, Italy in 1988 (summa cum laude), a Master of Science in Computer Science from the University of Houston, Texas, in 1992, and a Ph.D. in Computer Science, from the University of California in Los Angeles (UCLA) in 2001. He has an extensive experience in both the industrial and academic world. He served as CTO and CEO in the industry and served as consultant for various organizations. His research interest is on optimizing content delivery on new media such as Internet, mobile phones, and digital tv. He published several papers on data mining and its applications. He is a member of ACM and IEEE. Catarina Sismeiro   is a senior lecturer at Imperial College Business School, Imperial College London. She received her Ph.D. in Marketing from the University of California, Los Angeles, and her Licenciatura in Management from the University of Porto, Portugal. Before joining Imperial College Catarina had been and assistant professor at Marshall School of Business, University of Southern California. Her primary research interests include studying pharmaceutical markets, modeling consumer behavior in interactive environments, and modeling spatial dependencies. Other areas of interest are decision theory, econometric methods, and the use of image and text features to predict the effectiveness of marketing communications tools. Catarina’s work has appeared in innumerous marketing and management science conferences. Her research has also been published in the Journal of Marketing Research, Management Science, Marketing Letters, Journal of Interactive Marketing, and International Journal of Research in Marketing. She received the 2003 Paul Green Award and was the finalist of the 2007 and 2008 O’Dell Awards. Catarina was also a 2007 Marketing Science Institute Young Scholar, and she received the D. Antonia Adelaide Ferreira award and the ADMES/MARKTEST award for scientific excellence. Catarina is currently on the editorial boards of the Marketing Science journal and the International Journal of Research in Marketing. Giuseppe Tribulato   was born in Messina, Italy, in 1979. He received the degree in Computer Science (summa cum laude) in 2004 and his Ph.D in Computer Science in 2008. From 2005 he has lead the research team at Neodata Group. His research interests include data mining techniques, recommendation systems and customer targeting.   相似文献   
103.
针对单端工频电气量保护不能做到输电线路全线速动的缺点,在故障分析的基础上,提出了一种基于阻抗加速圆的瞬时动作判据。瞬时动作判据具有全线速动的优点,同时利用重合闸并根据动作后的信息纠正错误动作的结果。仿真实验验证了所提保护原理和动作判据的正确性。  相似文献   
104.
一种改进的即时消息传递系统认证方案   总被引:2,自引:0,他引:2  
即时消息传递(IM—Instant messaging)是Internet上日渐普及的一种通信方法。在介绍IM系统工作方式的基础上,详。细分析了当前IM系统在认证方案上的不足以及由此引起的潜在安全威胁。结合数据摘要技术和一次性口令认证方法,对IM系统层对层文件传输提出了一种改进的系统认证方案。该方案面向企业级应用,能够满足安全性要求较高的领域。  相似文献   
105.
基于JMF的多用户音视频通信系统的研究与实现   总被引:1,自引:0,他引:1  
在目前Internet上即时通信软件对多用户之间的交互式音视频通信支持不足的背景下,提出使用JMF以支持多用户音视频通信软件的开发.首先介绍了JMF的基本框架及其RTP支持,然后重点描述了一种基于JMF的多用户音视频通信系统的设计方案,并在给出其原型系统具体实现的基础上分析了该系统在性能上的优势所在.最后展望了下一步的研究工作.  相似文献   
106.
简要描述了传统人才招聘网站的方式;从招聘的流程、环节、方式等方面,从现实的情况提出了“P2P视频优化的即时沟通方式”:重点介绍P2P即时通讯的视频方式对网站优化所起到的作用和优点;通过对P2P视频在网站上的优点的分析,说明分P2P的视频应用是完全可行的.有助于企业、人才、网站三方面优化和提高效率。  相似文献   
107.
樊燕红  谭香 《电子技术应用》2007,33(10):123-124
XMPP最终要实现不同即时通信系统间的互通。主要介绍对XMPP与其他IM互连互通的网关原理及其应用进行的研究讨论,并以jabber系统与MSN Messenger进行互发信息作为实例进行详细阐述。  相似文献   
108.
介绍了利用高阻特性的GaAsI、nP:Fe材料研制光导开关的方法,并得出光导开关在产生低功率皮秒电脉冲、高功率纳秒电脉冲及产生电脉冲的稳定性与输入、输出电压比等性能参数测试的实验结果。最后,介绍了光导开关处于线性与非线性临界状态下的几个重要实验新现象。  相似文献   
109.
基于IMS的移动即时消息解决方案   总被引:1,自引:0,他引:1       下载免费PDF全文
针对当前即时消息业务从互联网领域向移动通信领域渗透的趋势以及第3代移动通信系统中IMS的大规模部署,文章提出了一种基于IMS的移动即时消息业务,结合IMS的网络体系结构,给出了在IMS上构建即时消息业务平台来实现该业务的解决方案,详细设计了该业务的系统结构,业务流程等,最后对该业务的相关特点进行了分析和总结。  相似文献   
110.
针对当前即时消息业务从互联网领域向移动通信领域渗透的趋势以及第3代移动通信系统中IMS的大规模部署,文章提出了一种基于IMS的移动即时消息业务,结合IMS的网络体系结构,给出了在IMS上构建即时消息业务平台来实现该业务的解决方案,详细设计了该业务的系统结构,业务流程等,最后对该业务的相关特点进行了分析和总结。  相似文献   
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