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检索条件"机构=Program in Applied Computer Science"

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Diffusion maps - A probabilistic interpretation for spectral embedding and clustering algorithms

Diffusion maps - A probabilistic interpretation for spectral...

引用

作者： Nadler, Boaz Lafon, Stephane Coifman, Ronald Kevrekidis, Ioannis G. Department of Computer Science and Applied Mathematics Weizmann Institute of Science Rehovot 76100 Israel Google Inc. United States Department of Mathematics Yale University New Haven CT 06520-8283 United States Department of Chemical Engineering Program in Applied and Computational Mathematics Princeton University Princeton NJ 08544 United States

ISBN: (纸本)9783540737490

Spectral embedding and spectral clustering are common methods for non-linear dimensionality reduction and clustering of complex high dimensional datasets. In this paper we provide a diffusion based probabilistic analysis of algorithms that use the normalized graph Laplacian. Given the pairwise adjacency matrix of all points in a dataset, we define a random walk on the graph of points and a diffusion distance between any two points. We show that the diffusion distance is equal to the Euclidean distance in the embedded space with all eigenvectors of the normalized graph Laplacian. This identity shows that characteristic relaxation times and processes of the random walk on the graph are the key concept that governs the properties of these spectral clustering and spectral embedding algorithms. Specifically, for spectral clustering to succeed, a necessary condition is that the mean exit times from each cluster need to be significantly larger than the largest (slowest) of all relaxation times inside all of the individual clusters. For complex, multiscale data, this condition may not hold and multiscale methods need to be developed to handle such situations.

关键词： Relaxation time

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Optimal resource allocation for survivable virtual infrastructures

Optimal resource allocation for survivable virtual infrastru...

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International Workshop on Design of Reliable Communication Networks (DRCN)

作者： Gustavo A. de S. Cavalcanti Rafael R. Obelheiro Guilherme Koslovski Graduate Program in Applied Computing Department of Computer Science Santa Catarina State University Graduate Program in Applied Computing Santa Catarina State University

Virtual infrastructures (VIs) consolidated the dynamic provisioning of computing and communication resources. A VI is a set of virtual machines interconnected by virtual links and switches/routers. Infrastructure providers (InPs) manage the physical substrates in which virtual resources requested by VIs (such as CPU, disk, memory, bandwidth) are reserved and allocated. Resource allocation is a complex problem that needs to satisfy different goals: users expect to run their applications on survivable VIs, while InPs aim to maximize profits, minimize costs and reduce substrate fragmentation. However, there is a dichotomy between minimizing substrate fragmentation, by co-locating VIs, and maximizing VI survivability, by sparsely allocating resources in order to decrease the impact of substrate failures. In this context, this paper discusses VI survivability and its impact on substrate fragmentation. We propose a mixed integer linear programming model to allocate resources considering the joint coordination of fragmentation and survivability. Experimental results suggest that it is possible to enhance VI survivability without significantly impacting substrate fragmentation.

关键词： Substrates Resource management Measurement Indium phosphide Servers Bandwidth Linear programming

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An independent set approach for the communication network of the GPS III system

An independent set approach for the communication network of...

引用

作者： Brinkmann, Gunnar Crevals, Simon Frye, John Applied Mathematics and Computer Science Ghent University Krijgslaan 281 S9 9000 Ghent Belgium Lockheed Martin GPS III Program 100 Campus Drive Newtown PA 18940 United States

In this article, we describe an algorithm to find the optimal communication network for the new GPS III satellite system. Finding a possible network will be translated to a maximum clique problem and an efficient algorithm for finding all maximum cliques under these special circumstances is described. © 2011 Elsevier B.V. All rights reserved.

关键词： Network security

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Successful women engineering students: A survey assessment to guide our efforts to boost women's retention

Successful women engineering students: A survey assessment t...

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2010 ASEE Annual Conference and Exposition

作者： Knight, Daniel Corner Sr., Katie Louie, Beverly Shoals Sr., Amber Cabrales, Cindy Integrated Teaching and Learning Program College of Engineering and Applied Science University of Colorado Boulder United States Department of Electrical and Computer Engineering University of Colorado Boulder United States Center College of Engineering and Applied Science University of Colorado Boulder United States College of Engineering and Applied Science University of Colorado Boulder United States Student Affairs Division Student Organizations Finance Office University of Colorado Boulder United States

In the fall of 2009, a college of engineering and applied science at a public, Rocky Mountain region university embarked on a new inclusive excellence initiative called Broadening Opportunity through Leadership & Diversity (BOLD). The BOLD Center is a new K-16 organizational structure to increase the performance, representation and retention through graduation of students who are underrepresented in engineering, including women, students of color, low income and first generation college attendees. A BOLD Center focus of concern is the declining retention rate of women that has dipped below that of men recently in our College. A survey consisting of 41 questions was distributed to all undergraduate engineering women in the college that incorporates scales from the Assessing Women in Engineering (AWE) assessment and from the Academic Pathways of People Learning Engineering Survey (APPLES). Five research questions were posed in the survey design: • Do women express a loss of interest during their program? • Is there a chilly climate for women in the college? • Do women?s self-efficacy levels change during the program? • Do academic performance levels play a role in women?s retention in engineering? • Do women have an adequate support structure in the college? The survey generated 116 responses from 2 solicitations, with women students represented from every major across all four undergraduate years. An unintended outcome was that the sample largely consists of women with high grade point averages. Thus, this paper offers insight on top performing women?s self-efficacy and their views on the college climate, the benefits from various support systems - advising, mentoring, social and financial - and the existing programming and initiatives that can play a role in their achievements. The results indicate that women students are interested and efficacious with respect to obtaining an engineering degree, and that the college climate is, on average, warm and accepting. Howev

关键词： Students

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Investigating Cases and Clusters-Based Reuse Policies for Card-Playing Agents 5

Investigating Cases and Clusters-Based Reuse Policies for Ca...

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5th Annual IEEE Conference on Games, CoG 2023

作者： Paulus, Gustavo B. Vargas, Daniel P. Assuncao, Joaquim V. C. Silva, Luis A. L. Federal Institute of Education Science and Technology of Rio Grande do Sul Ibirubá Brazil Federal University of Santa Maria Graduate Program in Computer Science Santa Maria Brazil Federal University of Santa Maria Applied Computing Department Santa Maria Brazil

ISBN: (纸本)9798350322774

computer games continue to present challenging experimental fields for developing Artificial Intelligence (AI) models. With Case-Based Reasoning and Clustering, this work proposes novel cases and clusters-based reuse criteria for implementing card-playing agents with diversified playing skills. Using the game of Truco, a common game in South America, we detail how game actions are reused from past cases selected as query answers for given game problems. In doing so, the majority rule, the probability-based lottery, the probability of victory, and the number of points won reuse policies are used to select a cluster of cases. Then these policies are also used to select game actions from the cases within the selected cluster. Investigating the combined exploration of reuse policies, experiments of different natures evaluate the performance of implemented Truco bots disputing matches against each other. Players in these tournaments are equipped with varied policies and use case bases constructed differently. © 2023 IEEE.

关键词： Case based reasoning

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Enhancing Acute Ischemic Stroke Diagnosis Using IoMT and Deep Learning Technologies

Enhancing Acute Ischemic Stroke Diagnosis Using IoMT and Dee...

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2024 International Telecommunications Conference, ITC-Egypt 2024

作者： El-Sheikh, Mohamed M. Bayoumy, Aya Ahmed, Nada M. Mohamed Eldeeb, Amany Rabea, Fatma I. Nawar, Amira A. Khattap, Mohamed G. Galal Eldeen Mohamed Ali Hassan, Hend Mostafa, Mariam Ibrahim, Nayra Ramadan, Reem Refaat, Yomna Khaled, Mennatallah Maher, Ali Abd Elaziz, Mohamed Gamal Abdellatif Ibrahim, Ahmed Radiology and Medical Imaging Faculty of Applied Health Sciences Galala University Suez435611 Egypt Faculty of Computer Science and Engineering Galala University Suez435611 Egypt Artificial Intelligence Science Program Faculty of Computer Science and Engineering Galala University Suez435611 Egypt Air Defense College Department of Electronics and Electrical Communications Engineering Alexandria Egypt

ISBN: (纸本)9798350351408

This paper introduces an alternative technique for diagnosing Acute Ischemic Stroke within the IoMT environment. In the proposed approach, the collected data is transmitted to a cloud-based center where the technique utilizes EfficientNet, a deep learning model, designed to extract features from MRI images thereby enhancing the detection of acute ischemic infarctions. The performance of EfficientNet is compared against two other models, CNN and MobileNet, demonstrating its superior efficacy through metrics such as accuracy, precision, recall, and F1-score, which stand at 92.31%, 92.28%, 92.33%, and 92.30%, respectively. © 2024 IEEE.

关键词： Contrastive Learning

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Web2Peer: A Peer-to-Peer Infrastructure for Publishing/Locating/Replicating Web Pages on Internet

Web2Peer: A Peer-to-Peer Infrastructure for Publishing/Locat...

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International Symposium on Autonomous Decentralized Systems (ISADAS)

作者： Heverson Borba Ribeiro Lau Cheuk Lung Altair Olivo Santin Neander Larsen Brisola Graduate Program in Applied Computer Science-PPGIA Pontifical Catholic University of Paraná Curitiba Brazil

This paper presents a decentralized infrastructure, called Web2Peer, which makes Web pages available on Internet through P2P networks. Different from the conventional Web, the proposed approach does not need, for instance, a HTTP address or a central Web Server. Web2Peer provides a set of functions for publishing, locating, and replicating Web pages on Internet ensuring high availability and fault tolerance. Our infrastructure allows anyone who has a computer connected to the Internet, even through a domestic ADSL connection, to publish Web pages through their own machines without any additional cost

关键词： Peer to peer computing Publishing Web pages Internet Web server IP networks Availability Costs Web sites Network servers

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Enhancements to a retention program for women engineering technology students by the addition of a social support network and community building activities

Enhancements to a retention program for women engineering te...

引用

2009 ASEE Annual Conference and Exposition

作者： Dell, Elizabeth Christman, Jeanne Wolcott, Teresa Valentine, Maureen Department of Manufacturing and Mechanical Engineering Technology Rochester Institute of Technology United States Department of Electrical Computer and Telecommunications Engineering Technology Rochester Institute of Technology United States Department of Computer Engineering Technology Program WIT in the Civil Engineering Technology program RIT South Africa College of Applied Science and Technology Rochester Institute of Technology United States

This paper describes a low-cost, successful program to help retain female Engineering Technology students with the ultimate goal of increasing the number of female graduates of our Engineering Technology programs. This program was started in 2003. The programming initially focused on academic support in the form of tutoring, formation of study groups and reimbursement for academic laboratory kits. This program did improve retention, but a survey of our students found that they also desired social support and opportunities to serve the community. Since the addition of programming involving social support and community building, retention of women students in the Engineering Technology programs has improved by an average of 6% per year. In addition to improved retention, the number of students receiving a D, F or Withdrawing from the core first- and second-year courses in these programs has dropped by over 75%. © American Society for Engineering Education, 2009.

关键词： Students

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Improving Business by Migrating Applications to the Cloud Using Cloudstep

Improving Business by Migrating Applications to the Cloud Us...

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International Conference on Advanced Information Networking and Applications Workshops (AINAW)

作者： Paulo R.M. Andrade Renanh G. Araújo Jose Cronemberger Filho Tiago R. Pereira Adriano B. Albuquerque Nabor C. Mendonca Postgraduate Program in Applied Computer Science (PPGIA) University of Fortaleza (UNIFOR) Fortaleza CE Brazil

The Cloud Computing means change, a task that is not always easy from the point of view of businesses, even when this has numerous benefits (high scalability, cost reduction, on demand service, and other). However, companies can benefit with the migration of their applications to the cloud. With this, companies may have reduced costs, greater reliability in its business processes, helping in his growth. In our current reality, small and medium enterprises still afraid to perform this process. They fear the unknown. The focus of this work is to show that even small and medium-sized companies may have competitive advantages to migrate their applications to the cloud.

关键词： Conferences

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Geometry based data generation 32

Geometry based data generation

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32nd Conference on Neural Information Processing Systems, NeurIPS 2018

作者： Lindenbaum, Ofir Wolf, Guy Stanley, Jay S. Krishnaswamy, Smita Applied Mathematics Program Yale University New HavenCT06511 United States Computational Biology and Bioinformatics Program Yale University New HavenCT06510 United States Departments of Genetics and Computer Science Yale University New HavenCT06510 United States

We propose a new type of generative model for high-dimensional data that learns a manifold geometry of the data, rather than density, and can generate points evenly along this manifold. This is in contrast to existing generative models that represent data density, and are strongly affected by noise and other artifacts of data collection. We demonstrate how this approach corrects sampling biases and artifacts, thus improves several downstream data analysis tasks, such as clustering and classification. Finally, we demonstrate that this approach is especially useful in biology where, despite the advent of single-cell technologies, rare subpopulations and gene-interaction relationships are affected by biased sampling. We show that SUGAR can generate hypothetical populations, and it is able to reveal intrinsic patterns and mutual-information relationships between genes on a single-cell RNA sequencing dataset of hematopoiesis. © 2018 Curran Associates Inc..All rights reserved.

关键词： Genes

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