检索结果-内蒙古大学图书馆

作者： Jang, Justin Wonka, Peter Ribarsky, William Shaw, Christopher D. Georgia Institute of Technology GVU Center College of Computing Atlanta GA 30332 United States Arizona State University PRISM Dept. of Computer Science and Engineering Tempe AZ 85287 United States UNC Charlotte CS Dept. Charlotte Visualization Center Charlotte NC 28223 United States Simon Fraser University Surrey School of Interactive Arts and Technology 14-660 Central City Tower 13450 102 Ave Surrey BC V3T 5X3 Canada Graphics Visualization and Usability Center Georgia Institute of Technology PRISM Lab. ASU Department of Information Technology UNC Charlotte Charlotte Visualization Center IEEE Visualization and Graphics Technical Committee School of Interactive Arts and Technology Simon Fraser University Surrey

We present a simplification algorithm for manifold polygonal meshes of plane-dominant models. Models of this type are likely to appear in man-made environments. While traditional simplification algorithms focus on generality and smooth meshes, the approach presented here considers a specific class of man-made models. By detecting and classifying edge loops on the mesh and providing a guided series of binary mesh partitions, our approach generates a series of simplified models, each of which better respects the semantics of these kinds of models than conventional approaches do. A guiding principle is to eliminate simplifications that do not make sense in constructed environments. This, coupled with the concept of "punctuated simplification", leads to an approach that is both efficient and delivers high visual quality. Comparative results are given.

关键词： Object oriented programming

来源：评论

学校读者我要写书评

暂无评论

Reports of the 2013 AAAI Spring Symposium Series

Reports of the 2013 AAAI Spring Symposium Series

引用

作者： Markman, Vita Stojanov, Georgi Indurkhya, Bipin Kido, Takashi Takadama, Keiki Konidaris, George Eaton, Eric Matsumura, Naohiro Fruchter, Renate Sofge, Don Lawless, William F. Madani, Omid Sukthankar, Rahul Disney Interactive Studios United States American University of Paris France International Institute of Information Technology Hyderabad India Rikengenesis Japan University of Electro-Communications Japan MIT CSAIL United States Computer Science Department Bryn Mawr College United States Graduate School of Economics Osaka University Japan Project Based Learning Laboratory Stanford University United States Naval Research Laboratory Washington DC United States Department of Mathematics and Psychology Paine College Augusta GA United States Google United States

The Association for the Advancement of Artificial Intelligence was pleased to present the AAAI 2013 Spring Symposium Series, held Monday through Wednesday, March 25-27, 2013. The titles of the eight symposia were Analyzing Microtext;Creativity and (Early) Cognitive Development;Data-Driven Wellness: From Self-Tracking to Behavior Change;Designing Intelligent Robots: Reintegrating AI II;Lifelong Machine Learning;Shikakeology: Designing Triggers for Behavior Change;Trust and Autonomous Systems;and Weakly Supervised Learning from Multimedia. This report contains summaries of the symposia, written, in most cases, by the cochairs of the symposium. Copyright © 2013, Association for the Advancement of Artificial Intelligence. All rights reserved.

关键词： Intelligent robots

来源：评论

学校读者我要写书评

暂无评论

Environment-independent Formation Flight for Micro Aerial Vehicles

Environment-independent Formation Flight for Micro Aerial Ve...

引用

IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： Tobias Nageli Christian Conte Alexander Domahidi Manfred Morari Otmar Hilliges Advanced Interactive Technologies Lab Department of Computer Science ETH Zurich 8092 Zurich Switzerland Automatic Control Laboratory Department of Information Technology and Electrical Engineering ETH Zurich 8092 Zurich Switzerland inspire AG Technoparkstrasse 1 8005 Zurich Switzerland

ISBN: (纸本)9781479969357

Some aerial tasks are achieved more efficiently and at a lower cost by a group of independently controlled micro aerial vehicles (MAVs) when compared to a single, more sophisticated robot. Controlling formation flight can be cast as a two-level problem: stabilization of relative distances of agents (formation shape control) and control of the center of gravity of the formation. To date, accurate shape control of a formation of MAVs usually relies on external tracking devices (e.g. fixed cameras) or signals (e.g. GPS) and uses centralized control, which severely limits its deployment. In this paper, we present an environment-independent approach for relative MAV formation flight, using a distributed control algorithm which relies only on embedded sensing and agent-to-agent communication. In particular, an on-board monocular camera is used to acquire relative distance measurements in combination with a consensus-based distributed Kalman filter. We evaluate our methods in- and outdoors with a formation of three MAVs while controlling the formation's center of gravity manually.

关键词： Bismuth Vectors Cameras Gravity Robot sensing systems Kalman filters Global Positioning System

来源：评论

学校读者我要写书评

暂无评论

QuadTIN: quadtree based triangulated irregular networks

QuadTIN: quadtree based triangulated irregular networks

引用

IEEE Conference on Visualization

作者： R. Pajarola M. Antonijuan R. Lario Computer Graphics Laboratory Information & Computer Science Department University of California Irvine USA School of Engineering Multimedia Technology Integration Center School of Engineering Departmento Arquitectura de Computadores y Automática Faculty de CC. Físicas Universidad Complutense de Madrid Spain

interactive visualization of large digital elevation models is of continuing interest in scientific visualization, GIS, and virtual reality applications. Taking advantage of the regular structure of grid digital elevation models, efficient hierarchical multiresolution triangulation and adaptive level-of-detail (LOD) rendering algorithms have been developed for interactive terrain visualization. Despite the higher triangle count, these approaches generally outperform mesh simplification methods that produce irregular triangulated network (TIN) based LOD representations. In this project we combine the advantage of a TIN based mesh simplification preprocess with high-performance quadtree based LOD triangulation and rendering at run-time. This approach, called QuadTIN, generates an efficient quadtree triangulation hierarchy over any irregular point set that may originate from irregular terrain sampling or from reducing oversampling in high-resolution grid digital elevation models.

关键词： Tin Digital elevation models Data visualization computer graphics Geographic information Systems Virtual reality Rendering (computer graphics) Strips computer science Application software

来源：评论

学校读者我要写书评

暂无评论

PUSH-PULL: CHARACTERIZING THE ADVERSARIAL ROBUSTNESS FOR AUDIO-VISUAL ACTIVE SPEAKER DETECTION

arXiv

引用

arXiv 2022年

作者： Chen, Xuanjun Wu, Haibin Meng, Helen Lee, Hung-Yi Jang, Jyh-Shing Roger Department. of Computer Science Information Engineering National Taiwan University Taiwan Graduate Institute of Communication Engineering National Taiwan University Taiwan Centre for Perceptual and Interactive Intelligence The Chinese University of Hong Kong Hong Kong Human-Computer Communications Laboratory The Chinese University of Hong Kong Hong Kong

Audio-visual active speaker detection (AVASD) is well-developed, and now is an indispensable front-end for several multi-modal applications. However, to the best of our knowledge, the adversarial robustness of AVASD models hasn't been investigated, not to mention the effective defense against such attacks. In this paper, we are the first to reveal the vulnerability of AVASD models under audio-only, visual-only, and audio-visual adversarial attacks through extensive experiments. What's more, we also propose a novel audiovisual interaction loss (AVIL) for making attackers difficult to find feasible adversarial examples under an allocated attack budget. The loss aims at pushing the inter-class embeddings to be dispersed, namely non-speech and speech clusters, sufficiently disentangled, and pulling the intra-class embeddings as close as possible to keep them compact. Experimental results show the AVIL outperforms the adversarial training by 33.14 mAP (%) under multi-modal attacks. © 2022, CC0.

关键词： Budget control

来源：评论

学校读者我要写书评

暂无评论

Towards outcome based learning: An engineering education case

Towards outcome based learning: An engineering education cas...

引用

IEEE Education Engineering (EDUCON)

作者： Jad Najjar Tomaž Klobučar Anh Vu Nguyen-Ngoc Michael Totschnig Franz Müller Bernd Simon Mikael Karlsson Henning Eriksson Institute for Information Systems and New Media WU Vienna of Economics and Business (Austria) Laboratory for Open Systems and Networks Jozef Stefan Institute Ljubljana Slovenia Department of Computer Science University of Leicester Leicester UK Institute of Information Systems and New Media WU Vienna of Economics and Business Vienna Austria Department of Interactive Media and Learning Umeå University Umea Sweden

Following the European initiatives like European Qualification Framework (EQF), Europass and European Learner Mobility, the aim of this paper is to introduce specifications, services and applications that enable the management and use of learning outcome information. We present pilot implementation and validation of the adoption of standards and specifications related to outcome based learning. Prototypes are developed as widgets and modules of Learning Management Systems (LMS) like Moodle, to produce and import data about intended learning outcomes of learning opportunities and achieved learning outcomes of learners. We demonstrate an outcome based Engineering Education use case.

关键词： Engineering education Data models Context Europe Qualifications Standards

来源：评论

学校读者我要写书评

暂无评论

Deep learning - A first meta-survey of selected reviews across scientific disciplines, their commonalities, challenges and research impact

arXiv

引用

arXiv 2020年

作者： Egger, Jan Pepe, Antonio Gsaxner, Christina Jin, Yuan Li, Jianning Kern, Roman Institute of Computer Graphics and Vision Faculty of Computer Science and Biomedical Engineering Graz University of Technology Graz Austria Computer Algorithms for Medicine Laboratory Graz Austria Department of Oral and Maxillofacial Surgery Medical University of Graz Graz Austria University Medicine Essen Essen Germany Research Center for Connected Healthcare Big Data Zhejiang Lab Zhejiang Hangzhou China Research Unit Experimental Neurotraumatology Department of Neurosurgery Medical University of Graz Graz Austria Knowledge Discovery Know-Center Graz Austria Institute of Interactive Systems and Data Science Graz University of Technology Graz Austria

Deep learning belongs to the field of artificial intelligence, where machines perform tasks that typically require some kind of human intelligence. Deep learning tries to achieve this by drawing inspiration from the learning of a human brain. Similar to the basic structure of a brain, which consists of (billions of) neurons and connections between them, a deep learning algorithm consists of an artificial neural network, which resembles the biological brain structure. Mimicking the learning process of humans with their senses, deep learning networks are fed with (sensory) data, like texts, images, videos or sounds. These networks outperform the state-of-the-art methods in different tasks and, because of this, the whole field saw an exponential growth during the last years. This growth resulted in way over 10,000 publications per year in the last years. For example, the search engine PubMed alone, which covers only a sub-set of all publications in the medical field, provides already over 11,000 results in Q3 2020 for the search term 'deep learning', and around 90% of these results are from the last three years. Consequently, a complete overview over the field of deep learning is already impossible to obtain and, in the near future, it will potentially become difficult to obtain an overview over a subfield. However, there are several review articles about deep learning, which are focused on specific scientific fields or applications, for example deep learning advances in computer vision or in specific tasks like object detection. With these surveys as a foundation, the aim of this contribution is to provide a first high-level, categorized meta-survey of selected reviews on deep learning across different scientific disciplines and outline the research impact that they already have during a short period of time. The categories (computer vision, language processing, medical informatics and additional works) have been chosen according to the underlying data sources (image,

关键词： Surveys

来源：评论

学校读者我要写书评

暂无评论

Pupillary Reactivity to Non-Photorealistic Rendering: A Case Study of Immersion in 3D Cinema

Pupillary Reactivity to Non-Photorealistic Rendering: A Case...

引用

International Conference on 3D Imaging (IC3D)

作者： Victor FAJNZYLBER Samuel MADARIAGA Rafael DEL VILLAR Pedro MALDONADO Diego Vargas Aria SERRA Milan MAGDICS Mateu SBERT Communication and Imaging Institute University of Chile Departamento de Neurociencia & Biomedical Neuroscience Institute University of Chile National School of Higher Studies Campus Morelia National Autonomous University of Mexico Institute of Informatics and Applications & Graphics and Imaging Laboratory Girona University Department of Control Engineering and Information Technology Budapest University of Technology and Economics School of Computer Science and Technology Tianjin University

ISBN: (纸本)9781538675915;9781538675908

The aim of our research is to build an empirical indicator of cinematic immersion based on ocular data. We study immersion as a gradual and adaptive process of corporal involvement in the cinematic experience. To study its temporal evolution, we analyze correlations between the film and the ocular response, in its attentional aspects (what do we see?) and pupillary aspects (how do we react?). To understand in what ways post-production can favor immersion, we are interested in studying the pupil reactivity to visual attributes of the film: the visual abstraction of a non-photorealistic rendering (NPR) post-production and the optical hyperrealism of stereoscopy. We expect that our results could be useful for conceiving new NPR tools for 3D films and innovative post-production strategies for virtual reality.

关键词： Motion pictures Visualization Three-dimensional displays Stereo image processing Videos Rendering (computer graphics) Correlation

来源：评论

学校读者我要写书评

暂无评论

Convolutional Neural Networks for Epileptic Seizure Prediction

arXiv

引用

arXiv 2018年

作者： Eberlein, Matthias Hildebrand, Raphael Tetzlaff, Ronald Hoffmann, Nico Kuhlmann, Levin Brinkmann, Benjamin Müller, Jens Technische Universität Dresden Faculty of Electrical and Computer Engineering Institute of Circuits and Systems Dresden01062 Germany Technische Universität Dresden Faculty of Computer Science Computer Graphics and Visualisation Dresden01062 Germany Faculty of Information Technology Monash University VIC Clayton3800 Australia Department of Medicine St Vincent's Hospital Melbourne VIC Fitzroy3065 Australia Mayo Systems Electrophysiology Laboratory Departments of Neurology and Biomedical Engineering Mayo Clinic RochesterMN55905 United States

Epilepsy is the most common neurological disorder and an accurate forecast of seizures would help to overcome the patient's uncertainty and helplessness. In this contribution, we present and discuss a novel methodology for the classification of intracranial electroencephalography (iEEG) for seizure prediction. Contrary to previous approaches, we categorically refrain from an extraction of hand-crafted features and use a convolutional neural network (CNN) topology instead for both the determination of suitable signal characteristics and the binary classification of preictal and interictal segments. Three different models have been evaluated on public datasets with long-term recordings from four dogs and three patients. Overall, our findings demonstrate the general applicability. In this work we discuss the strengths and limitations of our methodology. Copyright © 2018, The Authors. All rights reserved.

关键词： Electroencephalography

来源：评论

学校读者我要写书评

暂无评论

Geographic information science in the era of geospatial big data: A cyberspace perspective

引用

The Innovation 2022年第5期3卷 21-22页

作者： Xintao Liu Min Chen Christophe Claramunt Michael Batty Mei-Po Kwan Ahmad MSenousi Tao Cheng Josef Strobl Arzu Cöltekin John Wilson Temenoujka Bandrova Milan Konecny Paul MTorrens Fengyuan Zhang Li He Jinfeng Wang Carlo Ratti Olaf Kolditz Alexander Klippel Songnian Li Hui Lin Guonian Lu Department of Land Surveying and Geo-Informatics Hong Kong Polytechnic UniversityHong Kong SARKowloonChina Key Laboratory of Virtual Geographic Environment(Ministry of Education of PRC) Nanjing Normal UniversityNanjing 210023China The French Naval Academy Research Institute 29240 Lanveoc-PoulmicFrance The Bartlett Centre for Advanced Spatial Analysis(CASA) University College London(UCL)WC1E 6BT LondonUK Institute of Space and Earth Information Science The Chinese University of Hong KongHong Kong SARShatin 999077China Department of Civil Engineering Cairo University12613 CairoEgypt SpaceTimeLab Department of CivilEnvironmental and Geomatic EngineeringUniversity College London(UCL)WC1E 6BT LondonUK Department of Geoinformatics University of Salzburg5020 SalzburgAustria Institute of Interactive Technologies(IIT) University of Applied Sciences and Arts Northwestern Switzerland FHNW5210 WindischSwitzerland Spatial Sciences Institute University of Southern CaliforniaLos AngelesCA 90007USA Laboratory on Cartography Department of Photogrammetry and CartographyUniversity of ArchitectureCivil Engineering and Geodesy1164 SofiaBulgaria Laboratory on Geoinformatics and Cartography Department of GeographyMasaryk University61137 BrnoCeskáRepublika Computer Science and Engineering Tandon School&Center for Urban Science+ProgressNew York UniversityNew YorkNY 10012USA School of Humanities and Social Science Xi’an Jiaotong UniversityXi’an 710049China Institute of Geographic Sciences and Natural Resources Research Chinese Academy of SciencesBeijing 100101China Department of Urban Studies and Planning Massachusetts Institute of TechnologyCambridgeMA 02139USA Centre for Environmental Research Helmholtz Centre for Environmental Research-UFZ04318 LeipzigGermany Laboratory of Geo-information Science and Remote Sensing Wageningen University&ResearchWageningen 6708the Netherlands Department of Civil Engineering Toronto Metropolitan UniversityTorontoON M5B 2K3Canada School of Geography and Env

The advent of information and communication technology and the Internet of Things have led our society toward a digital *** proliferation of personal computers,smartphones,intelligent autonomous sensors,and pervasive network interactions with individuals have gradually shifted human activities from offline to online and from in person to *** transformation has brought a series of challenges in a variety of fields,such as the dilemma of placelessness,some aspects of timelessness(no time relevance),and the changing relevance of distance in the field of geographic information science(GIscience).In the last two decades,“cyber thinking”in GIscience has received significant attention from different *** instance,human activities in“cyberspace”need to be reconsidered when coupled with the geographic space to observe the first law of geography.

关键词： computer cyber instance

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：