检索结果-内蒙古大学图书馆

Frontiers in Education (FIE) Conference

作者： E. Golub Department of Computer Science Human-Computer Interaction Laboratory University of Maryland College Park MD USA

As we have moved to a more technology-based classroom, much attention has been paid to using computers to present material. computer-based presentations can be a powerful tool for faculty, but as more and more students are coming to class with laptop and tablet computers, attention is being paid to questioning the opportunities this could present to these students in the form of enhanced note-taking opportunities. This paper explores the idea of faculty (rather than the students) using a computer note-taking system during student presentations to support interaction, evaluation, and feedback. Good annotations and records of a presentation can assist in more organized and effective feedback both during class as well as after class. It can also be beneficial in the evaluation of grades during the assignment stage of a faculty member's work. The techniques discussed can be extended to a wide variety of student presentation assignments.

关键词： Feedback Birds Portable computers computer science Educational institutions Materials science and technology computer aided instruction Videos Software tools

来源：评论

学校读者我要写书评

暂无评论

A Rank-by-Feature Framework for Unsupervised Multidimensional Data Exploration Using Low Dimensional Projections

A Rank-by-Feature Framework for Unsupervised Multidimensiona...

引用

IEEE Symposium on information Visualization (INFOVIS)

作者： Jinwook Seo B. Shneiderman Department of Computer Science & Human-Computer Interaction Laboratory Institute for Advanced Computer Studies University of Maryland College Park MD USA

Exploratory analysis of multidimensional data sets is challenging because of the difficulty in comprehending more than three dimensions. Two fundamental statistical principles for the exploratory analysis are (1) to examine each dimension first and then find relationships among dimensions, and (2) to try graphical displays first and then find numerical summaries (D.S. Moore, (1999). We implement these principles in a novel conceptual framework called the rank-by-feature framework. In the framework, users can choose a ranking criterion interesting to them and sort 1D or 2D axis-parallel projections according to the criterion. We introduce the rank-by-feature prism that is a color-coded lower-triangular matrix that guides users to desired features. Statistical graphs (histogram, boxplot, and scatterplot) and information visualization techniques (overview, coordination, and dynamic query) are combined to help users effectively traverse 1D and 2D axis-parallel projections, and finally to help them interactively find interesting features

关键词： Multidimensional systems Data analysis Data visualization Data mining computer vision Principal component analysis computer science Laboratories Educational institutions Displays

来源：评论

学校读者我要写书评

暂无评论

Computationally-Enriched 'Piles' for Managing Digital Photo Collections

Computationally-Enriched 'Piles' for Managing Digital Photo ...

引用

IEEE Symposium on Visual Languages and human Centric Computing (VL/HCC)

作者： D. Bauer P. Fastrez J. Hollan Distributed Cognition and Human Computer Interaction Laboratory Department of Cognitive Science University of California San Diego USA

We explore and extend the metaphor of "piles" to include computationally-enriched piles, portable regions of automation in Dynapad, a multiscale workspace. We describe these collection-management tools and h... 详细信息

关键词： Automation Organizing Cameras information management Cognition human computer interaction Cognitive science Distributed computing Portable computers Web pages

来源：评论

学校读者我要写书评

暂无评论

Modular structure generation by greedy network-growing algorithm

Modular structure generation by greedy network-growing algor...

引用

IEEE Conference on Cybernetics and Intelligent Systems

作者： R. Kamimura H. Takeuchi Information Science Laboratory and Future Science and Technology Joint Research Center Tokai University Hiratsuka Kanagawa Japan Human-Computer Interaction Group Institute for Human Science and Biomedical Engineering National Institute of Advanced Industrial Science and Technology Tsukuba Japan

In this paper, we propose a new method to generate modular structures. In the method, the number of elements, that is, the number of competitive units is gradually increased. To control a process of module generation, we introduce two kinds of information, that is, unit and modular information. Unit information represents information content obtained by individual elements in all modules. On the other hand, modular information is information content obtained by each module. We try to increase both types of information simultaneously. We applied our method to two classification problems: random data classification and Web data classification. In both cases, we observed that modular structures were automatically generated.

关键词： Uncertainty information science humans Biomedical engineering Process control computer networks Learning systems Entropy Neurons Greedy algorithms

来源：评论

学校读者我要写书评

暂无评论

Accelerated greedy network-growing algorithm by Gaussian activation functions

Accelerated greedy network-growing algorithm by Gaussian act...

引用

IEEE Conference on Cybernetics and Intelligent Systems

作者： R. Kamimura H. Takeuchi Information Science Laboratory and Future Science and Technology Joint Research Center Tokai University Hiratsuka Kanagawa Japan Human-Computer Interaction Group Institute for Human Science and Biomedical Engineering National Institute for Advanced Industrial Science and Technology Tsukuba Japan

In this paper, we propose a new computational method for a network-growing method called greedy network-growing [R. Kamimura, et al., (2002)]. We have so far introduced a network-growing algorithm called greedy network-growing based upon information theoretic competitive learning. For competitive unit outputs, we have used the inverse of the squares of Euclidean distance between input patterns and connections. The algorithm has extracted very faithful representations of input patterns. However, one problem is that learning is very slow, and sometimes ambiguous final representations are obtained. To remedy these shortcomings, we introduce a new activation function, that is, Gaussian activation functions for competitive units. By changing a parameter for the Gaussian activation functions, we can build a network that does not focus on faithful representations of input patterns, but try to extract the main characteristics of input patterns. Because this method are not concerned with detailed parts of input patterns, learning is significantly accelerated and salient features should be extracted. We applied the method to a road classification problem. Experimental results confirmed that learning was significantly accelerated and salient features could be extracted.

关键词： Acceleration Learning systems computer networks Feature extraction Entropy information science humans Biomedical engineering computer industry Biomedical computing

来源：评论

学校读者我要写书评

暂无评论

Modular structure generation by greedy network-growing algorithm

Modular structure generation by greedy network-growing algor...

引用

2004 IEEE Conference on Cybernetics and Intelligent Systems

作者： Kamimura, Ryotaro Takeuchi, Haruhiko Information Science Laboratory Fut. Sci. and Technol. Jt. Res. Ctr. Tokai University 1117 Kitakaname Hiratsuka Kanagawa 259-1292 Japan Human-Computer Interaction Group Inst. for Hum. Sci. and Biomed. Eng. Natl. Inst. Adv. Indust. Sci./T. 1-1-1 Higashi Tsukuba 305-8566 Japan

ISBN: (纸本)0780386442

In this paper, we propose a new method to generate modular structures. In the method, the number of elements, that is, the number of competitive units is gradually increased. To control a process of module generation, we introduce two kinds of information, that is, unit and modular information. Unit information represents information content obtained by individual elements in all modules. On the other hand, modular information is information content obtained by each module. We try to increase both types of information simultaneously. We applied our method to two classification problems: random data classification and web data classification. In both cases, we observed that modular structures were automatically generated.

关键词： computer networks

来源：评论

学校读者我要写书评

暂无评论

Accelerated greedy network-growing algorithm by gaussian activation functions

Accelerated greedy network-growing algorithm by gaussian act...

引用

2004 IEEE Conference on Cybernetics and Intelligent Systems

ISBN: (纸本)0780386442

In this paper, we propose a new computational method for a network-growing method called greedy network-growing. We have so far introduced a network-growing algorithm called greedy network-growing based upon information theoretic competitive learning. For competitive unit outputs, we have used the inverse of the squares of Euclidean distance between input patterns and connections. The algorithm has extracted very faithful representations of input patterns. However, one problem is that learning is very slow, and sometimes ambiguous final representations are obtained. To remedy these shortcomings, we introduce a new activation function, that is, Gaussian activation functions for competitive units. By changing a parameter for the Gaussian activation functions, we can build a network that does not focus on faithful representations of input patterns, but try to extract the main characteristics of input patterns. Because this method are not concerned with detailed parts of input patterns, learning is significantly accelerated and salient features should be extracted. We applied the method to a road classification problem. Experimental results confirmed that learning was significantly accelerated and salient features could be extracted.

关键词： computer networks

来源：评论

学校读者我要写书评

暂无评论

Steps towards 'undigital' intelligent image processing: real-valued image coding of photoquantimetric pictures into the JLM file format for the compression of portable lightspace maps

Steps towards 'undigital' intelligent image processing: real...

引用

IEEE International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)

作者： S. Mann C. Manders B.L. Belmellat L. Kansal D. Chen EyeTap Personal Imaging (ePi) Laboratory Department of Electrical and Computer Engineering University of Toronto Toronto ONT Canada Human Media Laboratory (HML) School of Computing and Information Science Queen's University Kingston ONT Canada

Recent advances in intelligent signal processing have made it possible to capture high dynamic range images which are better represented as an array of real numbers rather than the current convention of an array of integers. This paper proposes a solution to address the need for real, rather than just integer, image coding and file formats. Additionally, we propose that the real-valued data be linear in photoquantity (the quantity of light received by the camera) to avoid the image misrepresentation that occurs when a camera's non-linear dynamic range compressor and a display's dynamic range non-linear expander do not match. We present two novel image formats that achieve this: the portable lightspace map (PLM) and its compressed version the JPEG lightspace map (JLM), that builds upon the JPEG compression scheme. The results of various compression levels for real-valued data and their corresponding file sizes are reported.

关键词： Image coding Image processing Dynamic range Digital cameras Spatial resolution Optical arrays Transform coding Displays Sensor arrays Portable computers

来源：评论

学校读者我要写书评

暂无评论

A Context—Aware Infrastructure for Supporting Applications with Pen—Based interaction

引用

Journal of computer science & Technology 2003年第3期18卷 343-353页

作者：栗阳关志伟戴国忠任向实韩勇 Human-Computer Interaction Laboratory Institute of Software The Chinese Academy of Sciences Beijing 100080 P.R. China Department of Information Systems Engineering Kochi University of Technology Tosayamada-cho Kochi 782-8502 Japan

Pen-based user interfaces which leverage the affordances of the pen provide userswith more flexibility and natural interaction. However, it is difficult to construct usable pen-baseduser interfaces because of the lack of support for their development. Toolkit-level support has beenexploited to solve this problem, but this approach makes it hard to gain platform independence,easy maintenance and easy extension. In this paper a context-aware infrastructure is created,called WEAVER, to provide pen interaction services for both novel pen-based applications andlegacy GUI-based applications. WEAVER aims to support the pen as another standard interactivedevice along with the keyboard and mouse and present a high-level access interface to pen *** employs application context to tailor its service to different applications. By modeling theapplication context and registering the relevant action adapters, WEAVER can offer services,such as gesture recognition, continuous handwriting and other fundamental ink manipulations, toappropriate applications. One of the distinct features of WEAVER is that off-the-shelf GUI-basedsoftware packages can be easily enhanced with pen interaction without modifying the existing *** this paper, the architecture and components of WEAVER are described. In addition, examplesand feedbacks of its use are presented.

关键词： user interface pen-based interaction context-aware infrastructure ink gesture

来源：评论

学校读者我要写书评

暂无评论

Automatic thumbnail cropping and its effectiveness 03

Automatic thumbnail cropping and its effectiveness

引用

UIST'03: Proceedings of the 16th Annual ACM Symposium on User Interface Software and Technology

作者： Suh, Bongwon Ling, Haibin Bederson, Benjamin B. Jacobs, David W. Department of Computer Science University of Maryland College Park MD 20742 United States Human-Computer Interaction Laboratory University of Maryland College Park MD 20742 United States

ISBN: (纸本)9781581136364

Thumbnail images provide users of image retrieval and browsing systems with a method for quickly scanning large numbers of images. Recognizing the objects in an image is important in many retrieval tasks, but thumbnails generated by shrinking the original image often render objects illegible. We study the ability of computer vision systems to detect key components of images so that automated cropping, prior to shrinking, can render objects more recognizable. We evaluate automatic cropping techniques 1) based on a general method that detects salient portions of images, and 2) based on automatic face detection. Our user study shows that these methods result in small thumbnails that are substantially more recognizable and easier to find in the context of visual search. © 2003 ACM.

关键词： User interfaces

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：