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检索条件"机构=Computer Science and Engineering System Laboratory"

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Multimethod machine learning approach for medical diagnosing

Multimethod machine learning approach for medical diagnosing

引用

IEEE EMBS International Conference on Information Technology Applications in Biomedicine (ITAB)

作者： M. Lenic P. Povalej M. Zorman V. Podgorelec P. Kokol L. Lhotska Laboratory for system design Faculty of Electrical Engineering and Computer Science University of Maribor Maribor Slovenia Gerstner Lab Faculty of Electrical Engineering Czech Technical University Czech Republic

In this paper we present a multimethod approach for induction of a specific class of classifiers, which can assist physicians in medical diagnosing in the case of mitral valve prolapse. Mitral valve prolapse is one of the most controversial prevalent cardiac condition and may affect up to ten percent of the population and in the worst case results in sudden death. MultiVeDec is a general framework enabling researchers to generate various intelligent tools based on machine learning. In this paper we focused on various decision tree methods, which are capable of extracting knowledge in a form closer to human perception, a feature that is very important in medical field. The experiment included classifiers with various classical single method approaches, evolutionary approaches, hybrid approaches and also our newest multimethod approach. The main concern of the latest approach is to rind a way to enable dynamic combination of methodologies to the somehow quasi unified knowledge representation. The proposed multimethod approach was capable to outperform all other tested approaches by producing classifier for diagnosing mitral valve prolapse with the highest overall and average class accuracy.

关键词： Machine learning Medical diagnosis Valves Decision trees Medical diagnostic imaging Humans Knowledge representation Classification tree analysis Blood flow Laboratories

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Global and localized parallel preconditioning techniques for large scale solid Earth simulations

Global and localized parallel preconditioning techniques for...

引用

International Parallel and Distributed Processing Symposium, IPDPS 2003

作者： Wang, Kai Kim, Sangbae Zhang, Jun Nakajima, Kengo Okuda, Hiroshi Laboratory for High Performance Scientific Computing and Computer Simulation Department of Computer Science University of Kentucky LexingtonKY40506-0046 United States 2-2-54 Naka-Meguro Meguro-ku Tokyo153-0061 Japan Department of Quantum Engineering and System Sciences University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo113-8656 Japan

ISBN: (纸本)0769519261

We investigate and compare a few parallel preconditioning techniques in the iterative solution of large sparse linear systems arising from solid Earth simulation with and without using contact information in the domain partitioning process. Previous studies are focused on using static or matrix pattern based incomplete LU (ILU) preconditioners in a localized preconditioner implementation. Our current studies are concerned with preconditioner performance for solving two different cases with and without known contact information. For the cases with contact information, we use localized threshold value based incomplete LU (ILUT) preconditioner to improve efficiency. For the cases without contact information, we use a global sparse approximate inverse preconditioner with a static sparsity pattern to achieve robustness. Numerical results from simulating ground motion on a parallel supercomputer are given to compare the effectiveness of these parallel preconditioning techniques. © 2003 IEEE.

关键词： Linear systems

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An open multiple instance learning framework and its application in drug activity prediction problems

An open multiple instance learning framework and its applica...

引用

IEEE Symposium on Bioinformatics and Bioengineering (BIBE)

作者： Xin Huang Shu-Ching Chen Mei-Ling Shyu Distributed Multimedia Information System Laboratory School of Computer Science Florida International University Miami FL USA Department of Electrical and Computer Engineering University of Miami Coral Gables FL USA

ISBN: (纸本)0769519075

In this paper, a powerful open Multiple Instance Learning (MIL) framework is proposed. Such an open framework is powerful since different sub-methods can be plugged into the framework to generate different specific Multiple Instance Learning algorithms. In our proposed framework, the Multiple Instance Learning problem is first converted to an unconstrained optimization problem by the Minimum Square Error (MSE) criterion, and then the framework can be constructed with an open form of hypothesis and gradient search method. The proposed Multiple Instance Learning framework is applied to the drug activity problems in bioinformatics applications. Specifically, experiments are conducted on the Musk-I dataset to predict the binding activity of drug molecules. In the experiments, an algorithm with the exponential hypothesis model and the Quasi-Newton method is embedded into our proposed framework. We compare our proposed framework with other existing algorithms and the experimental results show that our proposed framework yields a good accuracy of classification, which demonstrates the feasibility and effectiveness of our framework.

关键词： Drugs Machine learning Bioinformatics Supervised learning Application software Multimedia systems Information systems Laboratories computer science Power engineering computing

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Component-based design and integration of a distributed multimedia management system

Component-based design and integration of a distributed mult...

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IEEE International Conference on Information Reuse and Integration (IRI)

作者： Shu-Ching Chen Mei-Ling Shyu Na Zhao Chengcui Zhang Distributed Multimedia Information System Laboratory School of Computer Science Florida International University Miami FL USA Department of Electrical & Computer Engineering University of Miami Coral Gables FL USA

ISBN: (纸本)0780382420

In order to fulfill the functional requirements of multimedia management systems while achieving the efficiency and reliability at the same time, we adopt the component-based design to develop a complicated distributed multimedia management system called DMMManager in this paper. DMMManager integrates a set of core components for managing multimedia data, such as content-based retrieval for image and video data, and multimedia presentation design and rendering. Component-based design makes the reuse and share of the components easy and reliable, and thus avoids the waste of both time and man power in the development cycle. Moreover, new applications can be easily integrated into this system as a new development and utilize the existing components. Besides component reuse, the system is also designed to facilitate information reuse. For example, the output of the image/video retrieval component can be taken as the input for the multimedia presentation component. In addition, the use of subnetworks in our multimedia presentation design also enables the modularized reuse of the existing presentation models that are previously created.

关键词： Multimedia systems Multimedia databases Information retrieval engineering management Content based retrieval Power system management Image retrieval Rendering (computer graphics) Research and development management Management information systems

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Ensuring fairness in multimedia multicast streaming with optimal rate allocation and client buffer utilization

Ensuring fairness in multimedia multicast streaming with opt...

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Mei-Ling Shyu Shu-Ching Chen Hongli Luo Department of Electrical and Computer Engineering University of Miami Coral Gables FL USA Distributed Multimedia Information System Laboratory School of Computer Science Florida International University Miami FL USA

ISBN: (纸本)0780379659

In this paper, we propose a rate control mechanism for multimedia multicast streaming in the Internet. A single and optimal transmission rate that is adaptive to the network congestion, buffer occupancies, and the playback requirements of the member clients in the multicast group is allocated. We optimize the multicasting delivery in the Internet by improving the buffer occupancy of all clients for on-time presentation while using the minimal transmission rate. Scalable playback is used for the clients with low bandwidth capabilities in a heterogeneous environment. Simulation results show that the buffer capacity can be efficiently improved and fairness is ensured among the member clients.

关键词： Streaming media Bandwidth Internet Multicast protocols Web server Multimedia systems Information systems Laboratories computer science Adaptive systems

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Incorporating real-valued multiple instance learning into relevance feedback for image retrieval

Incorporating real-valued multiple instance learning into re...

引用

IEEE International Conference on Multimedia and Expo (ICME)

作者： Xin Hunag Shu-Ching Chen Mei-Ling Shyu Distributed Multimedia Information System Laboratory School of Computer Science Florida International University Miami FL USA Department of Electrical and Computer Engineering University of Miami Coral Gables FL USA

ISBN: (纸本)0780379659

This paper presents a content-based image retrieval (CBIR) system that incorporates real-valued multiple instance learning (MIL) into the user relevance feedback (RF) to learn the user's subjective visual concepts, especially where the user's most interested region and how to map the local feature vector of that region to the high-level concept pattern of the user. RF provides a way to obtain the subjectivity of the user's high-level visual concepts, and MIL enables the automatic learning of the user's high-level concepts. The user interacts with the CBIR system by relevance feedback in a way that the extent to which the image samples retrieved by the system are relevant to the user's intention is labeled. The system in turn applies the MIL method to find user's most interested image region from the feedback. A multilayer neural network that is trained progressively through the feedback and learning procedure is used to map the low-level image features to the high-level concepts.

关键词： Feedback Image retrieval Radio frequency Neurofeedback Information retrieval Content based retrieval Multi-layer neural network Rivers Multimedia systems Information systems

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Intelligent platform for automatic medical knowledge acquisition: detection and understanding of neural dysfunctions

Intelligent platform for automatic medical knowledge acquisi...

引用

Annual IEEE Symposium on computer-Based Medical systems

作者： M. Zorman P. Kokol M. Lenic P. Povalej B. Stiglic D. Flisar Laboratory for System Design Faculty of Electrical Engineering and Computer Science University of Maribor Maribor Slovenia Centre for interdisciplinary and multidisciplinary research and studies CIMRS Maribor Slovenia

The use of intelligent systems and machine learning methods, capable of automatic decision making based on already solved cases, and data mining, are getting more and more popular. Here we are faced not only with technical problems, but also with limited confidence in machine learning techniques. In some cases methods that may explicitly show the deduction process are not powerful enough. One of the possibilities is to modify/improve the methods so that the users could easily follow the process of decision making. To solve this problem, a few years ago we started to develop a platform, which enables us to develop, test and use different kinds of hybrid methods. These are meant to combine the advantages of the integrated methods-e.g., power and knowledge representation-that contribute to the quality of the acquired knowledge. In this paper we present a way of using the developed platform in order to obtain new knowledge, based on results from neurophysiological measurements We are every pleased with the performance of our intelligent platform. The first results we obtained already show some improvement in comparison to classic machine learning approaches.

关键词： Knowledge acquisition Electroencephalography Learning systems Decision making Intelligent systems Machine learning Data mining Testing Knowledge representation Nervous system

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An adaptive multimedia transmission protocol for distributed multimedia applications

An adaptive multimedia transmission protocol for distributed...

引用

International Conference on Distributed Computing systems Workshop

作者： Shu-Ching Chen Mei-Ling Shyu I. Gray Hongli Lu Distributed Multimedia Information System Laboratory School of Computer Science Florida International University Miami FL USA Department of Electrical and Computer Engineering University of Miami Coral Gables FL USA

In this paper, an end-to-end real-time adaptive protocol for multimedia transmission is presented. The transmission rate is determined by the quadratic probing algorithm that can obtain the maximal utilization of the client buffer and minimal allocation of the network bandwidth. It is also coupled with a congestion control mechanism that can effectively decrease the packet loss rate during network congestion. We investigate the performance of our quadratic probing algorithm in different congestion levels under both Local Area Net (LAN) and Internet environment. Performance analysis reveals that our approach is more robust in avoiding overflow and underflow in different network congestion levels, and adapting to the changing network delays. Comparisons are made with the fixed rate approach and the rate by playback requirement approach. Experimental results show that the proposed real time protocol with rate adjusting quadratic probing algorithm is efficient in utilizing the network resources and decreasing the packet loss ratios.

关键词： Protocols Bandwidth Quality of service Multimedia systems Local area networks Streaming media Videoconference Adaptive control Application software Real time systems

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Dynamic scheduling issues in SMT architectures

Dynamic scheduling issues in SMT architectures

引用

International Symposium on Parallel and Distributed Processing (IPDPS)

作者： Chulho Shin Seong-Won Lee J.-L. Gaudiot Samsung Electronics Corporation System Design Technology Laboratory Department of Electrical Engineering-Systems University of Southern California USA Department of Electrical Engineering and Computer Science University of California Irvine USA

Simultaneous multithreading (SMT) attempts to attain higher processor utilization by allowing instructions from multiple independent threads to coexist in a processor and compete for shared resources. Previous studies have shown, however, that its throughput may be limited by the number of threads. A reason is that a fixed thread scheduling policy cannot be optimal for the varying mixes of threads it may face in an SMT processor. Our adaptive dynamic thread scheduling (ADTS) was previously proposed to achieve higher utilization by allowing a detector thread to make use of wasted pipeline slots with nominal hardware and software costs. The detector thread adaptively switches between various fetch policies. Our previous study showed that a single fixed thread scheduling policy presents much room (some 30%) for improvement compared to an oracle-scheduled case. In this paper, we take a closer look at ADTS. We implemented the functional model of the ADTS and its software architecture to evaluate various heuristics for determining a better fetch policy for a next scheduling quantum. We report that performance could be improved by as much as 25%.

关键词： Dynamic scheduling Surface-mount technology Yarn Processor scheduling Detectors Multithreading Throughput Face detection Adaptive scheduling Pipelines

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Application of novel hierarchical approach to formal verification of digital ICs

Application of novel hierarchical approach to formal verific...

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Midwest Symposium on Circuits and systems (MWSCAS)

作者： F.A. El-Licy H.S. Abdel-Aty-Zohdy Department of Information and Computer Science Institute of Statistical Studies and Research Cairo University Egypt Microelectronics System Design Laboratory Electrical and Systems Engineering Oakland University MI USA

A hierarchical approach for the abstraction of digital VLSICs is presented. Circuit layout is hierarchically abstracted into logical constructs of binary tree structures, which may be manipulated to extract circuit functionality for the purpose of verifying design correctness. VLSIC design specification in the form of HDL is hierarchically decomposed to generate logical formulae for the given specification. By comparing the above, a verification report is obtained

关键词： Formal verification Logic design Binary trees Hardware design languages Production Very large scale integration Electrical capacitance tomography Combinational circuits Data structures Boolean functions

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