The series of International Conferences on Extending Database Technology (EDBT) is an established and prestigious forum for the exchange of the latest research results in data management. It provides unique opportunit...
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ISBN:
(数字)9783540329619
ISBN:
(纸本)9783540329602
The series of International Conferences on Extending Database Technology (EDBT) is an established and prestigious forum for the exchange of the latest research results in data management. It provides unique opportunities for database researchers, practitioners, developers, and users to explore new ideas, techniques, and tools, and to exchange experiences. This volume contains the proceedings of the 10th EDBT Conference, held in Munich, Germany, March 27-29, 2006. The conference included 3 keynote talks, 56 full-size and 4 half-size research papers in 20 sessions, 8 industrial presentations in 3 sessions, 1 panel session, 5 tutorials in 7 sessions, and 20 demonstrations in 4 sessions. All of the research papers as well as papers and abstracts from most of the other sessions are included here. Distinguished members of the database and information-retrieval communities delivered the three keynotes, which were all in the spirit of the banner theme chosen for EDBT 2006: “From Database systems to Universal Data Management. ” Martin Kersten, a pioneer in the area of database support for ambient application environments and the investigator of several kernel database architectures, discussed various hard issues that arise in organic database systems, i. e. , systems that can be embedded in several hardware applications and have autonomic behavior. Alan Smeaton, a leader in content-based retrieval of information in a wide variety of media, introduced us to the world of digital video libraries and challenged us with several open problems associated with their effective management.
Intelligent computing is becoming a mature ?eld of information and communication technology, covering a hybrid palette of methods and techniques derived from clas- cal arti?cial intelligence, computational intelligenc...
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ISBN:
(数字)9783540749301
ISBN:
(纸本)9783540749295;9783642094354
Intelligent computing is becoming a mature ?eld of information and communication technology, covering a hybrid palette of methods and techniques derived from clas- cal arti?cial intelligence, computational intelligence, multi-agent systems etc. Int- ligent computing is generally known to be computationally intensive from the point of view of resources required: time, memory, bandwidth. As such high resource c- sumption is one of its main drawbacks, distributed computing is expected to give an impetus to its practical utilization. Moreover, intelligent techniques have also proved their usefulness to the core distributed computing technologies like planning and scheduling, load balancing, replication, resource allocation and management, and its applications. Therefore, the emerging ?eld of intelligent distributed computing can be expected both, to bring a fruitful cooperation and to pose new challenges of adaptation of both areas. Intelligent and Distributed Computing 2007 – IDC 2007 was the ?rst Inter- tional Symposium aimed at bringing together researchers involved in intelligent and distributed computing to allow cross-fertilization and search for synergies of ideas and to enable advancement of research in these exciting sub-?elds of computer s- ence. IDC was started as an initiative of research groups from: (i) systems Research institute, Polish Academy of Sciences in Warsaw, Poland and (ii) software Engine- ing Department of the University of Craiova, Craiova, Romania. IDC 2007 was held in Craiova, Romania during October 18-19, 2007. This book represents the peer-reviewed proceedings of the IDC 2007. We - ceived 52 submissions from 24 countries.
This book presents an agile and model-driven approach to manage scientific workflows. The approach is based on the Extreme Model Driven Design (XMDD) paradigm and aims at simplifying and automating the complex data an...
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ISBN:
(数字)9783662450062
ISBN:
(纸本)9783662450055
This book presents an agile and model-driven approach to manage scientific workflows. The approach is based on the Extreme Model Driven Design (XMDD) paradigm and aims at simplifying and automating the complex data analysis processes carried out by scientists in their day-to-day work. Besides documenting the impact the workflow modeling might have on the work of natural scientists, this book serves three major purposes: 1. It acts as a primer for practitioners who are interested to learn how to think in terms of services and workflows when facing domain-specific scientific processes. 2. It provides interesting material for readers already familiar with this kind of tools, because it introduces systematically both the technologies used in each case study and the basic concepts behind them. 3. As the addressed thematic field becomes increasingly relevant for lectures in both computer science and experimental sciences, it also provides helpful material for teachers that plan similar courses.
This book summarizes the results of Design Thinking Research Program at Stanford University in Palo Alto, California, USA and the Hasso Plattner institute in Potsdam, Germany. Offering readers a closer look at design ...
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ISBN:
(数字)9783319609676
ISBN:
(纸本)9783319609669;9783319869711
This book summarizes the results of Design Thinking Research Program at Stanford University in Palo Alto, California, USA and the Hasso Plattner institute in Potsdam, Germany. Offering readers a closer look at design thinking, its innovation processes and methods, it covers topics ranging from how to design ideas, methods and technologies, to creativity experiments and creative collaboration in the real world, and the interplay between designers and engineers. But the topics go beyond this in their detailed exploration of design thinking and its use in IT systemsengineering fields, and even from a management perspective. The authors show how these methods and strategies actually work in companies, and introduce new technologies and their functions. Furthermore, readers learn how special-purpose design thinking can be used to solve thorny problems in complex fields. Thinking and devising innovations are fundamentally and inherently human activities – so is design thinking. Accordingly,design thinking is not merely the result of special courses nor of being gifted or trained: it’s a way of dealing with our environment and improving techniques, technologies and life.
作者：
Xin ZhangHongzhi FengM. Shamim HossainYinzhuo ChenHongbo WangYuyu YinHangzhou Dianzi University
China Key Laboratory of Complex Systems Modeling and Simulation Ministry of Education China Zhoushan Tongbo Marine Electronic Information Research Institute Hangzhou Dianzi University China and Yunnan Key Laboratory of Service Computing Yunnan University of Finance and Economics China Hangzhou Dianzi University
China Department of Software Engineering
College of Computer and Information Sciences King Saud University Saudi Arabia Hangzhou Dianzi University
China Key Laboratory of Complex Systems Modeling and Simulation Ministry of Education China and Zhoushan Tongbo Marine Electronic Information Research Institute Hangzhou Dianzi University China
Action Quality Assessment (AQA) has become crucial in video analysis, finding wide applications in various domains, such as healthcare and sports. A significant challenge faced by AQA is the background bias due to the...
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Action Quality Assessment (AQA) has become crucial in video analysis, finding wide applications in various domains, such as healthcare and sports. A significant challenge faced by AQA is the background bias due to the dominance of the background in videos. Especially, the background bias tends to overshadow subtle foreground differences, which is crucial for precise action evaluation. To address the background bias issue, we propose a novel data augmentation method named Scaled Background Swap. Firstly, the background regions between different video samples are swapped to guide models focus toward the dynamic foreground regions and mitigate its sensitivity to the background during training. Secondly, the video’s foreground region is up-scaled to further enhance models’ attention to the critical foreground action information for AQA tasks. In particular, the proposed Scaled Background Swap method can effectively improve models’ accuracy and generalization by prioritizing foreground motion and swapping backgrounds. It can be flexibly applied with various video analysis models. Extensive experiments on AQA benchmarks demonstrate that Scaled Background Swap method achieves better performance than baselines. Specifically, the Spearman’s rank correlation on datasets AQA-7 and MTL-AQA reaches 0.8870 and 0.9526, respectively. The code is available at: https://***/Emy-cv/Scaled-Background Swap.
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