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检索条件"主题词=Detection Algorithms"

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A Robust Graph-Based Algorithm for detection and Characterization of Anomalies in Noisy Multivariate Time Series

A Robust Graph-Based Algorithm for Detection and Characteriz...

引用

IEEE International Conference on Data Mining Workshops (ICDM Workshops)

作者： Haibin Cheng Pang-Ning Tan Christopher Potter Steven Klooster Michigan State University Lansing MI USA NASA Ames Research Center Moffett Field CA USA California State University CA USA

detection of anomalies in multivariate time series is an important data mining task with potential applications in medical diagnosis, ecosystem modeling, and network traffic monitoring. In this paper, we present a robust graph-based algorithm for detecting anomalies in noisy multivariate time series data. A key feature of the algorithm is the alignment of kernel matrices constructed from the time series. The aligned kernel enables the algorithm to capture the dependence relationship between different time series and to support the discovery of different types of anomalies (including subsequence-based and local anomalies). We have performed extensive experiments to demonstrate the effectiveness of the proposed algorithm. We also present a case study that shows the utility of applying our algorithm to detect ecosystem disturbances in Earth science data.

关键词： Robustness Kernel Ecosystems Vegetation Data mining Geoscience Telecommunication traffic detection algorithms Earth Conferences

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Hierarchical run time deadlock detection in process networks

Hierarchical run time deadlock detection in process networks

引用

IEEE Workshop on Signal Processing Systems (SIPS)

作者： Bin Jiang Ed Deprettere Bart Kienhuis Leiden Embedded Research Center Leiden University Netherlands

Deadlock detection is a well-studied problem that may be considered solved from a theoretical point of view. However, specific cases may demand for specific solutions. One such specific case is deadlock detection in Kahn Process Networks. The Kahn process network (KPN) is an expressive model of computation that is widely used to model and specify deterministic streaming applications. The processes in the network communicate point-to-point over FIFO channels whose sizes are undecidable in general. As a consequence, deadlock may occur and, therefore, a run-time deadlock detection mechanism is required. This can be organized in a centralized way, a distributed way, and a hierarchical way. Centralized and distributed procedures have been reported in the literature. In this paper, we propose a novel hierarchical approach for KPN deadlock detection at run time. We also give results for the implementation on the IBM Cell processor.

关键词： System recovery Intelligent networks Computational modeling Computer networks Runtime Concurrent computing Channel capacity detection algorithms Hardware Computer architecture

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Storage-Based Anomaly Intrusion detection Technology Based on D-S Evidence Theory

Storage-Based Anomaly Intrusion Detection Technology Based o...

引用

International Conference on Computer and Electrical Engineering, ICCEE

作者： Jingfeng Xue Fengnian Zhao Xiaolin Zhao Gang Shu School of Software Beijing Institute of Technology Beijing China

The storage operation of normal process in host system is analyzed and an anomaly intrusion detection method based on d-s evidence theory for storage system is proposed. The detector fuses multiple signatures of storage data to decide whether the storage operation flow is normal. Furthermore, six groups of light-computation signatures of storage operation data are used to develop an efficient fusion mechanism to guarantee high performance of the algorithm. Experiment shows that high detection rate can be achieved by such fusion.

关键词： Intrusion detection Statistics Probability Computational complexity Quantization Detectors Fuses detection algorithms Galois fields Uncertainty

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An effective dissolve detection approach with temporal and spatial considerations

An effective dissolve detection approach with temporal and s...

引用

International Conference on Control, Automation, Robotics and Vision (ICARCV)

作者： Wang Yao Guangtao Zhai Jianfei Cai School of Computer Engineering Nanyang Technological University Singapore

Dissolves are the basic artificial effects of gradual transitions in video sequences, which are widely used in TV programs and movies. Through dissolve detection, interesting and important video temporal segments can be easily located and indexed for various applications. In this paper, we present an effective dissolve detection algorithm, which takes into account the dissolve properties in both temporal and spatial domains. In particular, in the temporal domain, we use frame difference to capture the dissolve characteristics. In the spatial domain, the central area is given bigger weight than the four sides. Experimental results show a good performance of our proposed algorithm.

关键词： Layout detection algorithms Video compression Robotics and automation Video sequences Gunshot detection systems Machine learning algorithms Image coding Automatic control Robot control

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Parallel collision detection algorithm based on mixed BVH and OpenMP

Parallel collision detection algorithm based on mixed BVH an...

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International Conference on System Simulation and Scientific Computing, ICSC

作者： Wei Zhao Rui-pu Tan Wen-hui Li College of Computer Science & Technology Jilin University Changchun China School of Computer Science & Engineering Changchun University of Technology China

Concerning the requirements of real-time and accurate collision detection in interactive system, we propose a shared memory parallel collision detection algorithm. First we incorporate the merits of both AABB bounding box and bounding spheres to construct a hybrid bounding representation of arbitrary non-convex polyhedra (S-AABB) for attaining speed, and then use OpenMP parallel programming model to traversal the built hybrid bounding volume hierarchy, so further accelerate the collision detection algorithm. At last, experiments results have shown that our algorithm is advantageous over other current typical collision detection algorithms such as I-COLLIDE [1] regarding efficiency and accuracy, so can meet the real-time and accurate requirements in complex interactive virtual environment.

关键词： detection algorithms Testing Virtual environment Computer science Virtual reality Space technology Concurrent computing Computational geometry Robot control Object detection

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Low-complexity receivers for multiuser detection with an unknown number of active users

Low-complexity receivers for multiuser detection with an unk...

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Daniele Angelosante Ezio Biglieri Marco Lops DAEIMI Università di Cassino Cassino Italy Departament de Tecnologia Universitat Pompeu Fabra Barcelona Spain

In multiuser detection, the set of users active at any time may be unknown to the receiver. A two-step detection procedure, in which multiuser detection is preceded by active-user identification, is suboptimum. The optimum solution consists of detecting simultaneously the set of active users and their data, problem that can be solved exactly by applying random-set theory (RST). However, implementation of optimum detectors can be limited by their complexity, which grows exponentially with the number of potential users. In this paper we illustrate how the complexity of optimum can be reduced. In particular, sphere detection (SD) techniques (possibly in an approximate version) are examined.

关键词： Multiuser detection Detectors Signal detection Complexity theory Stochastic processes Estimation theory Parameter estimation detection algorithms Maximum likelihood estimation Tree graphs

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A Scientific Theme Emergence detection Approach Based on Citation Graph Analysis

A Scientific Theme Emergence Detection Approach Based on Cit...

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International Conference on Tools for Artificial Intelligence (ICTAI)

作者： Tieyun Qian Phillip C-Y Sheu Shijun Li Lina Wang Wuhan University Wuhan Hubei CN Department of EECS University of California Irvine USA Computer School Wuhan University China

Citation graph analysis has been used to evaluate the significance of documents and authors, or to estimate the impact of publication venues. In this paper, we investigate its new application in topic identification. We first model the communities in the citation graph as related documents on a specific topic. And then, a scientific theme detection algorithm is proposed based on community partition, attempting to identify the emergency of a new theme by tracking the change of the community where the top cited nodes lie in. Experimental results on real dataset show that the proposed method can detect new topic timely with only a subset of data.

关键词： Citation analysis detection algorithms Artificial intelligence Software engineering State estimation Application software Fuses Costs History

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QRD-QLD Searching Based Sphere detection for Emerging MIMO Downlink OFDM Receivers

QRD-QLD Searching Based Sphere Detection for Emerging MIMO D...

引用

IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference

作者： Predrag Radosavljevic Kyeong Jin Kim Joseph R. Cavallaro Department of Electrical and Computer Engineering Rice University Houston TX USA Nokia Corporation Irving TX USA

In this paper, a detection algorithm with parallel partial candidate-search algorithm is presented. Two fully independent partial search processes are simultaneously employed for two groups of transmit antennas based on QR and QL decompositions of the channel matrix. Proposed QRD- QLD detection algorithm is compared with well-known QRD-M scheme adopted for several emerging wireless standards. Latency of the QRD-QLD candidate search is about twice as small for similar error-rate performance and for identical hardware resources. Total detection latency of QRD-QLD algorithm that also includes computation of soft information for outer decoder is also substantially smaller.

关键词： MIMO Downlink OFDM Receiving antennas Transmitting antennas Delay detection algorithms Parity check codes Maximum likelihood decoding Computational complexity

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Road detection using segmentation by weighted aggregation based on visual information and a posteriori probability of road regions

Road detection using segmentation by weighted aggregation ba...

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IEEE International Conference on Systems, Man and Cybernetics

作者： T.T. Son S. Mita A. Takeuchi Department of Electronics and Information Toyota Technological Institute Nagoya Japan

In this paper, a road detection method based on an image segmentation algorithm is presented. Road detection process is a key issue for an autonomous driving system in urban environment. Image-based road detection algorithm is applied on sources of visual information recorded by cameras when our car is running on road. Our method combines a posteriori probability and visual information for image segmentation. The method is composed of two steps. Firstly, a road identifier is trained with supervised learning algorithm. Secondly, road regions are detected by combining a posteriori probability and visual information using image segmentation algorithm. Experimental results are presented for road images in actual driving video acquired in urban areas.

关键词： Roads Image segmentation Laser modes Robustness detection algorithms Cameras Supervised learning Urban areas Surface texture Image edge detection

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Boundary matching based translucent TV logo detection

Boundary matching based translucent TV logo detection

引用

IEEE Signal Processing and Communications Applications (SIU)

作者： Tugrul K. Ates Ersin Esen Ahmet Saracoglu A. Aydin Alatan Elektrik ve Elektronik Mühendisliği Bölümü Orta Doğu Teknik üniversitesi Turkey TÜBİTAK Uzay Teknolojileri Araştırma Enstitüsü

Increasing trend in the usage of translucent television logos by broadcast channels renders opaque logo detection algorithms inadequate. Important applications such as identification of broadcast types make the detection of translucent logos a significant requirement. This paper presents a method for detecting translucent television logos in video streams. Firstly, boundary information of the logo, which will be searched in broadcast stream, is extracted manually. This search is carried out by comparing the edge map of the luminance channel of the interest region with inner and outer contours of the logo using different metrics. Performance is increased by utilization of temporal redundancies and solutions to special problematic cases. Furthermore, traces of the logo boundaries are examined in chrominance channels of video frames in order to eliminate false alarms caused by opaque logos with the same boundaries. Promising results indicate the applicability of the method in real life.

关键词： TV Streaming media Histograms Robustness Art Reactive power detection algorithms

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