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检索条件"任意字段=2021 10th International Conference on Computing and Pattern Recognition"

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Highly sparse reductions to kernel spectral clustering

Highly sparse reductions to kernel spectral clustering

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5th international conference on pattern recognition and Machine Intelligence, PReMI 2013

作者： Mall, Raghvendra Langone, Rocco Suykens, Johan A. K. Department of Electrical Engineering ESAT-SCD Katholieke Universiteit Leuven Kasteelpark Arenberg 10 B-3001 Leuven Belgium

ISBN: (纸本)9783642450617

Kernel spectral clustering is a model-based spectral clustering method formulated in a primal-dual framework. It has a powerful out-of-sample extension property and a model selection procedure based on the balanced line fit criterion. this paper is an improvement of a previous work which sparsified the kernel spectral clustering method using the line structure of the data projections in the eigenspace. However, the previous method works only in the case of well formed and well separated clusters as in other cases the line structure is lost. In this paper, we propose two highly sparse extensions of kernel spectral clustering that can overcome these limitations. For the selection of the reduced set we use the concept of angles between the data projections in the eigenspace. We show the effectiveness and the amount of sparsity obtained by the proposed methods for several synthetic and real world datasets. © Springer-Verlag 2013.

关键词： Cluster analysis

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Human Activity recognition Based On Silhouette Analysis Using Local Binary patterns

Human Activity Recognition Based On Silhouette Analysis Usin...

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international conference on Fuzzy Systems and Knowledge Discovery

作者： Han Su Jiayun Zou Wenjie Wang Key Lab of Virtual Reality and Visual Computing of Sichuan Sichuan Normal University Chengdu China 610066|c|

ISBN: (纸本)9781467352512

In this paper, we present a novel method for activity analysis in outdoor environment. Difficulties, such as low resolution, shadows, long distances, and segmentation problems, usually exist in outdoor environment. To deal with these difficulties, the activity width sequence image which maintains 3D features using 2D representation is exploited to represent the silhouette structure information of each frame and dynamic properties of activity. the activity width vectors are converted to the gray value successively according to the order in activity sequence and the gray image is formed in spatio-temporal space. We regard the activity width sequence image as the texture and choose Local Binary patterns which is a powerful texture extraction operator to analyze the spatio-temporal pattern. the method is simple and effective. We test our method based on the outdoor database and the results are encouraging.

关键词： Human Activity recognition Local Binary patterns Silhouette Width

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User Travelling pattern Prediction via Indistinct Cellular Data Mining

User Travelling Pattern Prediction via Indistinct Cellular D...

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Symposia and Workshops on Ubiquitous, Autonomic and Trusted computing, UIC-ATC

作者： Jingwei Wang Neil Y. Yen Bin Guo Runhe Huang Jianhua Ma Tao Ban Hong Zhao Graduate School of Computer and Information Sciences Hosei University Japan School of Computer Science and Engineering The University of Aizu Japan School of Computer Science Northwestern Polytechnical University China Faculty of Computer & Information Sciences Hosei University Japan Network Security Research Institute NICT Japan School of Software Engineering Beijing Jiaotong University China

Smart devices, i.e., smartphone, have come into our daily lives, which become obviously inseparable. Although a variety of functions (e.g., gaming, networking, etc.) are provided, making calls remain the major task. this phenomenon implies the possibility of understanding human behaviors, especially the action contexts (e.g., moving preference, regularity, sociability, etc.), can be expected. In addition, precise services become applicable to be provided through mining, analysis, and prediction of such information. In this study, we investigate the travelling pattern, focusing especially on routine (say excluding the events in holidays), of mobile users via real calling histories. A general model, Travelling pattern Model, was developed, primarily dealing with the contexts of calling and correlated geographical information. this model not only enables high prevision prediction of users but also benefits business models through the detail understanding of user behaviors.

关键词： Mobile communication Predictive models Databases History Educational institutions Arrays Google

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A unimodal fusion framework utilizing multiple enrolment images

A unimodal fusion framework utilizing multiple enrolment ima...

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international Bhurban conference on Applied Sciences & Technology, IBCAST

作者： Asim Baig Fatih Kurugollu Ahmed Bouridane Institute of Electronics Communications and Information Technology (ECIT) Queen's University of Belfast UK School of Computing Engineering and Information Sciences Northumbria University Newcastle Upon Tyne UK

ISBN: (纸本)9781467344258

One of the main purposes of using multiple enrolment images in a biometric recognition system is that if the input image is noisy and/or distorted in some way or is deformed during capturing stage, the recognition system may still be able to match with the genuine enrolment image providing more than one option is available. this approach, as used in conventional unimodal recognition systems, attempts to match the input image with multiple enrolment images for each user and select the highest matching score as the correct matching result. However, there exist some inter-dependencies between the data and matching scores which can be exploited not only to enhance the recognition results but also to achieve a better consistency of matching. In this paper we propose an approach to compute and utilize the relationship between the matching scores and hence exploits the computed inter-dependency measures to (i) achieve an improved and stable recognition results and (ii) provide a strong quality measure that can be employed not only to reduce Error Rates but also to act as a parameter that can be used to set weights for multimodal fusion base recognition systems. To demonstrate the effectiveness of the proposed methods, extensive experiments were carried out on fingerprint and iris data using widely used databases.

关键词： Biomedical imaging Loss measurement Image recognition Fingerprint recognition pattern matching Measurement uncertainty Weight measurement

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Understand Group Travel Behaviors in an Urban Area Using Mobility pattern Mining

Understand Group Travel Behaviors in an Urban Area Using Mob...

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Symposia and Workshops on Ubiquitous, Autonomic and Trusted computing, UIC-ATC

作者： Bowen Du Yang Yang Weifeng Lv State Key Laboratory of Software Development Environment Beihang University Beijing China

ISBN: (纸本)9781479924837

With the development of cities, especially in developing countries, public transport is a major choice for millions city dwellers, which can ease the traffic pressure, such as crowdedness. However, for cities, in particular cities of developing countries, the continuous development of urban construction leads to the function of regions are changed, and then the collective that travel to specific locations in the city are redistributed, such as a new shopping mall in operation or a new-built community comes into service to meet travel demands of citizens. Currently, Automated Fare Collection Systems (AFCS) are widely used in cities around the world and large amounts of data from AFCS have been acquired. In this paper, we present a new framework to use the data through AFCS to discovering regions with high passenger gathering intensity and classify points in these regions with similar passenger gathering feature varying with time in dynamic way, which is called spark region. Furthermore, the novel definition group mobility pattern (GMP) is proposed to mine the regular group behavior among these spark regions. A series of analysis is employed by using large-scale and real-world data, which consists of nearly 17million people's daily public transit records, bus trajectories generated by over 14,854 buses organizations in Beijing at 20seconds interval. the actual application indicates group mobility pattern is helpful for diagnosis and understanding residence of each region with their demand for public transportation in a significant way.

关键词： Sparks Cities and towns Vectors Vehicle dynamics Frequency control Vehicles Dynamic scheduling

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Detecting Flood Attacks through New Density-pattern Based Approach

Detecting Flood Attacks through New Density-Pattern Based Ap...

引用

IEEE international conference on High Performance computing and Communications (HPCC)

作者： Jinson Zhang Mao Lin Huang Faculty of Engineering & IT University of Technology Sydney Sydney Australia Faculty of Engineering & IT University of Technology Sydney Sydney Australia

Flood attacks are common threats to Internet, which has necessitated the need for visual analysis within an intrusion detection system to identify these attacks patterns. the challenges are how to increase the accuracy of detection and how to visualize and present the patterns of flood attack for early detection. In this paper, we introduce a Two-Density model that contains two coefficients: sending-density and receiving-density for the network traffic analysis during flood attacks. the attack pattern is established based on these two coefficients which are also displayed in our clustering visualization graph. the experimental results are presented to demonstrate that the proposed new model significantly improves the detection of flood attacks and provides a better understanding of the nature of flood attacks on networks.

关键词： Floods Visualization Computer hacking Internet Ports (Computers) Telecommunication traffic

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An ontology design pattern for cartographic map scaling

An ontology design pattern for cartographic map scaling

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10th international conference on the Semantic Web: Semantics and Big Data, ESWC 2013

作者： Carral, David Scheider, Simon Janowicz, Krzysztof Vardeman, Charles Krisnadhi, Adila A. Hitzler, Pascal Kno.e.sis Center Wright State University United States Institute for Geoinformatics University of Münster Münster Germany Department of Geography University of California Santa Barbara CA United States Center for Research Computing University of Notre Dame Notre Dame IN United States

ISBN: (纸本)9783642382871

the concepts of scale is at the core of cartographic abstraction and mapping. It defines which geographic phenomena should be displayed, which type of geometry and map symbol to use, which measures can be taken, as well as the degree to which features need to be exaggerated or spatially displaced. In this work, we present an ontology design pattern for map scaling using the Web Ontology Language (OWL) within a particular extension of the OWL RL profile. We explain how it can be used to describe scaling applications, to reason over scale levels, and geometric representations. We propose an axiomatization that allows us to impose meaningful constraints on the pattern, and, thus, to go beyond simple surface semantics. Interestingly, this includes several functional constraints currently not expressible in any of the OWL profiles. We show that for this specific scenario, the addition of such constraints does not increase the reasoning complexity which remains tractable. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Map symbols

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pattern Regulator for Wireless Body Sensor Networks

Pattern Regulator for Wireless Body Sensor Networks

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IEEE international conference on High Performance computing and Communications (HPCC)

作者： Lan Yao Fuxiang Gao Ge Yu Northeastern University Shenyang China

In a wireless body area sensor network (WBAN), biosensors are implanted or worn on an individual to acquire medical data for a clinical diagnosis or physical monitoring. Traditionally, authentication and cryptography techniques are used to achieve the data confidentiality and privacy of a WBAN system. However, for WBAN systems, besides data itself, the pattern of data transmission may leak critical information about the user. For example, various medical sensors deliver data in different patterns and these patterns leak many critical facts, e.g., what sensors are used (which implies diseases the individual may have), and how frequent the sensor is sampling (which implies how urgent some abnormal observation is about a patient). In this work, to address this challenge, we design a regulator, which packs real data session into a type-independent transmission model at transmission layer. All valid data packets are equably sent at the frequency defined by the regulator and at the same length to clutter the inherent pace of valid data transmission and other parameters. We also propose a strategy PAS to minimize the overhead while preventing attackers from locating the patients. Our extensive experiments validate our regulator and PAS design.

关键词： Regulators Radio frequency Monitoring Wireless communication Medical diagnostic imaging Wireless sensor networks Data communication

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Swarm Communication - A Messaging pattern Proposal for Dynamic Scalability in Cloud

Swarm Communication - A Messaging Pattern Proposal for Dynam...

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IEEE international conference on High Performance computing and Communications (HPCC)

作者： Lenuta Alboaie Sinica Alboaie Andrei Panu Faculty of Computer Science Alexandru Ioan Cuza University Iasi Romania S.C. Axiologic SaaS S.R.L. Iasi Romania

ISBN: (纸本)9781479909735

Programming for cloud systems looks deceptively similar with programming web and enterprise applications except that it is harder. the challenges that a few years ago were reserved only for distributed systems specialists from academia or from big internet companies are now coming to masses. the well known methods of dealing with concurrency and scalability by using threads should be replaced with asynchronous messages because vertical scalability is limited and expensive. Programming with asynchronous messages can be also a challenge and we present in this paper an improved method, called swarm communication. the proposal is based on the metaphor inspired by nature, and we think at messages as relatively smart beings visiting relatively non intelligent places. through this article we describe this new method for decomposing complex applications in small services and we will present how dynamic scalability can be achieved in a swarm system.

关键词： Scalability Proposals Computer architecture Java Standards Storms

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Design of Cloud-Based Parallel Exclusive Signature Matching Model in Intrusion Detection

Design of Cloud-Based Parallel Exclusive Signature Matching ...

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IEEE international conference on High Performance computing and Communications (HPCC)

作者： Yuxin Meng Wenjuan Li Lam-For Kwok Department of Computer Science City University of Hong Kong Hong Kong SAR China

Signature-based intrusion detection systems have been widely deployed in current network environments to defend against various attacks, but the expensive process of signature matching is a major suffering problem for these detection systems. thus, a high-performance signature matching scheme is of great importance for a signature-based IDS. In our previous work, we have developed an exclusive signature matching scheme that aims to identify a mismatch instead of locating an accurate match and achieved good results in the experiments. With the advent of Cloud computing, IDS as a service (IDSaaS) has been proposed as an alternative by offloading the expensive operations such as the process of signature matching to the cloud. In this paper, we attempt to design a parallel model to conduct the exclusive signature matching in a cloud. In the evaluation, we implemented our model in a cloud environment and investigated its performance compared with Snort. the experimental results indicate that our proposed model can achieve promising performance in such a cloud environment.

关键词： Cloud computing Computational modeling Payloads Intrusion detection pattern matching Graphics processing units throughput

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