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检索条件"任意字段=International Workshop on Intelligent Computer in Pattern Analysis/Synthesis"

共 294 条记录，以下是81-90 订阅

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Performance pattern of Unified Parallel C on Multi-Core Clusters

Performance Pattern of Unified Parallel C on Multi-Core Clus...

引用

international workshop on intelligent Communication and Social Networks

作者： Nor Asilah Wati Abdul Hamid Olivier Serres Ahmad Anbar Sazlinah Hassan High Performance Computing Lab (HPCL) Department of Electrical and Computer Engineering The George Washington University Faculty of Computer Science & Information Technology Universiti Putra Malaysia

ISBN: (纸本)9781479909735

The Partitioned Global Address Space (PGAS) model has been widely used in multi-core clusters as an alternative to MPI. Among the widespread use is Unified Parallel C (UPC). Previous research has shown that UPC performance is comparable with MPI, however in certain cases UPC require hand-tuning techniques such as pre-fetching and privatized pointers-to-shared to improve the performance. In this paper we reviews, evaluate and analyze the performance pattern between UPC Naive, UPC optimize and MPI on two different multi-core clusters architecture. We focus our study using matrix multiplication as the benchmark and perform our experimental on two distributed memory machine;Cray XE6 with Gemini interconnects and Sun Cluster with Infiniband interconnects. We provide analysis on each core execution time to understand the pattern of communication for both machines. We also demonstrate the gaps between naive and optimized are depends on the compiler with its associate distributed memory machine. We also observed unnecessary optimization for certain programs related to HPC architecture and compiler.

关键词： Performance Evaluation PGAS UPC MPI Gemini

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ONLINE REGULARIZED DISCRIMINANT analysis

ONLINE REGULARIZED DISCRIMINANT ANALYSIS

引用

22nd IEEE international workshop on Machine Learning for Signal Processing (MLSP)

作者： Orhan, Umut Li, Ang Erdogmus, Deniz Northeastern Univ Cognit Syst Lab Boston MA 02115 USA

ISBN: (纸本)9781467310260

Learning the signal statistics and calibration are essential procedures for supervised machine learning algorithms. For some applications, e. g ERP based brain computer interfaces, it might be important to reduce the duration of the calibration, especially for the ones requiring frequent training of the classifiers. However simply decreasing the number of calibration samples would decrease the performance of the algorithm if the algorithm suffers from curse of dimensionality or low signal to noise ratio. As a remedy, we propose estimating the performance of the algorithm during the calibration in an online manner, which would allow us to terminate the calibration session if required. Consequently, early termination means a reduction in time spent. In this paper, we present an updating algorithm for regularized discriminant analysis (RDA) to modify the classifier using the new supervised data collected. The proposed procedure considerably reduces the time required for updating the RDA classifiers compared to recalibrating them, that would make the performance estimation applicable in real time.

关键词： pattern recognition adaptive learning brain computer interfaces event related potential

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Enhanced recognition using iterative learning fusion in remote sensing images

Enhanced recognition using iterative learning fusion in remo...

引用

2012 IAPR workshop on pattern Recognition in Remote Sensing, PRRS 2012

作者： Yang, Qianwen Sun, Fuchun Liu, Huaping Department of Computer Science State Key Laboratory of Intelligent Technology and System Tsinghua University Beijing 100084 China

ISBN: (纸本)9781467349628

This article focuses on remote sensing image fusion in order to improve target recognition performance. Current fusion algorithms are mostly designed for specific purpose and have exponential complexity. We propose a fast and robust image fusion algorithm - the iterative learning fusion (ILF) algorithm, to improve the quality of images. This algorithm combines iterative learning in control theory with Multi-scale Geometric analysis (MGA) image fusion algorithms;also, we apply color transfer to preserve color feature and cooperate it with SVM to improve recognition. By performing iterative learning, fusion parameters will converge to optimal in MGA fusion process. Theoretical analysis and experiments demonstrate improvement of visual and quantitative performance by proposed algorithm. © 2012 IEEE.

关键词： Image fusion

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Research and Application on SBA Life-Cycle Management Technology of Complex Products System

Research and Application on SBA Life-Cycle Management Techno...

引用

Asia Simulation Conference/international Conference on System Simulation and Scientific Computing (AsiaSim and ICSC 2012)

作者： Li, Tan Chai, Xudong Hou, Baocun Fan, Shuai Zhu, Wenhai Feng, Shan Kong, Deyu Li, Yuan Wang, Weijing Beijing Simulat Ctr Beijing 100854 Peoples R China Beijing Univ Aeronaut & Astronaut Beijing 100191 Peoples R China Huazhong Univ Sci & Technol Huazhong 430074 Peoples R China

ISBN: (纸本)9783642343865

Based on the research fruits of paper [1], the author introduces some new technologies into SBA collaborative supporting environment, including network technology (Internet / Web Service / Grid Computing), Artificial Intelligence and XMSF technology. Firstly, the author states a new integrated and intelligent infrastructure of SBA collaborative supporting environment which can fulfill the features and demands mentioned above;then some solved key technologies are explained in detail according to the latest research;at the end, good conclusions are verified by elementary application, which are, (1) the pre-setup prototype of SBA collaborative supporting environment are featured by networktized, intelligent, collaborative and integrated, as well as its good openness, security, extensibility and general, which can support the multidisciplinary team to collaboratively carry out the virtual R&D of complex products. (2) Combined with SBA integrated modeling, Hall of workshop of Metasynthetic Engineering, Life-cycle cost model and integration framework, the environment supports multi-location, multi-group, multi-disciplinary simulation applications, SOS (System of Systems) and qualitative-quantitative analysis, and is also supportive to the management, share and reuse of various simulation resources, which are very suitable for the SBA procedure of complex product.

关键词： integrated intelligent SBA integrated modeling Meta synthesis life-cycle cost model integration framework

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Real time image analysis for infomobility

Real time image analysis for infomobility

引用

international workshop on Multimedia Understanding Through Semantics, Computation, and Learning, MUSCLE 2011

作者： Magrini, Massimo Moroni, Davide Pieri, Gabriele Salvetti, Ovidio Pisa Italy

ISBN: (纸本)9783642324352

In our society, the increasing number of information sources is still to be fully exploited for a global improvement in urban living. Among these, a big role is played by images and multimedia data (i.e. coming from CCTV and surveillance videos, traffic cameras, etc.). This along with the wide availability of embedded sensor platforms and low-cost cameras makes it now possible the conception of pervasive intelligent systems based on vision. Such systems may be understood as distributed and collaborative sensor networks, able to produce, aggregate and process images in order to understand the observed scene and communicate the relevant information found about it. In this paper, we investigate the characteristics of image processing algorithms coupled to visual sensor networks. In particular the aim is to define strategies to accomplish the tasks of image processing and analysis over these systems which have rather strong constraints in computational power and data transmission. Thus, such embedded platform cannot use advanced computer vision and pattern recognition methods, which are power consuming, on the other hand, the platform may be able to exploit a multi-node strategy that allows to perform a hierarchical processing, in order to decompose a complex task into simpler problems. In order to apply and test the described methods, a solution to a visual sensor network for infomobility is proposed. The experimental setting considered is two-fold: acquisition and integration of different views of parking lots, and acquisition and processing of traffic-flow images, in order to provide a complete description of a parking scenario and its surrounding area. © 2012 Springer-Verlag.

关键词： intelligent systems

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Face recognition based on principle component analysis and support vector machine

Face recognition based on principle component analysis and s...

引用

international workshop on intelligent Systems and Applications

作者： Wang, Chengliang Lan, Libin Zhang, Yuwei Gu, Minjie Department of Computer Science and Engineering Chongqing University Chongqing China

ISBN: (纸本)9781424498574

Face recognition is an important research field of pattern *** to now,it caused researchers great concern from these fields,such as pattern recognition,computer vision,and physiology,and so *** recognition algorithms have been proposed. Generally,we can make sure that the performance of face recognition system is determined by how to extract feature vector exactly and to classify them into a class ***,it is necessary for us to pay close attention to feature extractor and *** this paper, in order to raise recognition rate,Principle Component analysis (PCA) is used to extract image feature,and Support Vector Machine (SVM) is used to deal with face recognition problem. SVM has been recently proposed as a new classifier for pattern *** take Principle Component analysis & Support Vector Machine (PCA&SVM) to do experiments on the Cambridge ORL Face database,and compare this method with Principle Component analysis & Nearest Neighbor (PCA&NN) and Support Vector Machine (SVM) on recognition rate and recognition time ***,this experimental results show that recognition rate of this method,under small samples circumstance,is better than other two methods. It shows that,for face recognition,sending PCA features to SVM classifiers is feasible and correct. © 2011 IEEE.

关键词： Support vector machines

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Towards requirement analysis pattern for learning agents

Towards requirement analysis pattern for learning agents

引用

11th international workshop on Agent-Oriented Software Engineering XI, AOSE 2010

作者： Vafadar, Shiva Abdollahzadeh Barfourosh, Ahmad Intelligent System Lab. Computer Engineering and IT Faculty Amirkabir University of Technology Iran

ISBN: (纸本)9783642226359

Learning is a capability that can be incorporated into software agents to handle the complexity of dynamic and unexpected situations, exploiting available artificial intelligence (AI) techniques. Despite design techniques for learning agents have been discussed in agent oriented software engineering literature, how to identify and analyze the requirements for learning agents is still poorly addressed. In this paper, we introduce a pattern for requirement analysis of learning agents. This analysis pattern contains a group of related, generic meta-classes of learning and their relations in a domain neutral manner which can be described as elements of conceptual modeling of learning requirement of agents. The applicability of the pattern has been investigated through the development of a book trading case study. © 2011 Springer-Verlag.

关键词： intelligent agents

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Attacks on speech biometric authentication

Attacks on speech biometric authentication

引用

2011 international Conference on Image Processing, computer Vision, and pattern Recognition, IPCV 2011

作者： Inthavisas, K. Lopresti, D. Department of Computer Science and Engineering Lehigh University Bethlehem PA 18015 United States

ISBN: (纸本)9781601321916

We investigate the security of DTW, VQ and GMM methods that have been used in speaker authentication systems. We present attack models based on adversary knowledge. We start with naive adversaries without knowledge of an authentic speaker and develop them into highly knowledgeable adversaries who know the speaker's information, have the speaker's voice samples, acquire the speaker's template, and know an algorithm of the speaker authentication system. We propose an analysis-synthesis forgery in which the informed adversary can exploit information such as feature vectors from the template and a statistical probability from the voice samples of the target speakers to re-generate a forgery that can be used in remote or on-line authentication. We evaluate our scheme with two speech datasets. The results show that the proposed scheme outperforms other attack models reported in the literature.

关键词： Authentication

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Adaptive Algorithm for Instruction pattern Adjustment in intelligent CAI

Adaptive Algorithm for Instruction Pattern Adjustment in Int...

引用

international workshop on intelligent Systems and Applications, ISA

作者： Wen-long Ma Wen-li Yu Jian-ping Liao

In multi-pattern intelligent CAI, select a most suitable instruction pattern is a key task. The paper adopts an algorithm for instruction pattern selection to calculate original adaptive-values, and a series of rule was established to adjust these adaptive-values. Based on the theory of Deterministic Finite Automata, The adaptive algorithm for instruction pattern adjustment was proposed. It can adjust the selected instruction pattern dynamically. The experimental results show that the algorithm is a valid method on improving the adaptability in intelligent CAI.

关键词： Heuristic algorithms computer aided instruction Adaptation model Automata Algorithm design and analysis

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Web Information Systems Engineering - WISE 2010 workshops - WISE 2010 international Symposium WISS and international workshops CISE, MBC, Revised Selected Papers

Web Information Systems Engineering - WISE 2010 Workshops - ...

引用

workshops on Web Information Systems Engineering, WISE 2010: 1st international Symposium on Web intelligent Systems and Services, WISS 2010, 2nd international workshop on Mobile Business Collaboration, MBC 2010 and 1st Int. workshop on CISE 2010

ISBN: (纸本)9783642243950

The proceedings contain 40 papers. The topics discussed include: strategic points to minimize time cost for decision making under asynchronous time constraints;a recommender system for infrequent purchased products based on user navigation and product review data;forming buyer coalition schemes with ontologies in E-Marketplaces;toward a framework for assessing E-Marketplace service quality;relaxing queries based on XML structure and content preferences;automatic extraction rules generation based on XPath pattern learning;an XML-based representational document format for FRBR;a framework for XML schema integration via conceptual model;probability distribution-based QoS analysis for web service composition;and from ASTD access control policies to WS-BPEL processes deployed in a SOA environment.

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