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检索条件"主题词=Change Detection Algorithms"

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Detecting and estimating parameter jumps using ladder algorithms and likelihood ratio tests

Detecting and estimating parameter jumps using ladder algori...

引用

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

作者： A. Brandt FB ET Datenverarbeitun Bundeswehr University of Munich Neubiberg Germany

The problem of recursive identification of autoregressive processes which are subject to parameter jumps of unknown magnitude occurring at unknown times is addressed. A sequential procedure for tracking the parameters, detecting the parameter jumps and estimating the points of change is presented which is based on generalized likelihood ratio (GLR) techniques and application of two adaptive ladder filters: the unnormalized growing memory and sliding memory least squares covariance ladder algorithms. From the prediction error energies which are available from these algorithms, the relevant GLR statistics for detection and location of the parameter jumps is computed and after each jump detection the growing memory ladder algorithm is reinitialized by means of the sliding memory filter estimates.

关键词： Parameter estimation Testing Signal processing algorithms Adaptive filters Signal processing change detection algorithms Adaptive signal detection Event detection Least squares approximation Error analysis

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Intrusion detection oriented distributed negative selection algorithm

Intrusion detection oriented distributed negative selection ...

引用

International Conference on Neural Information Processing

作者： Wenjian Luo Xianbin Cao Jiying Wang Xufa Wang Department of Computer Science and Technology University of Science and Technology Hefei Anhui China Department of Electronic Science and Technology University of Science and Technology Hefei Anhui China

ISBN: (纸本)9810475241

The negative selection algorithm proposed by Forrest et al. (1994) is a very significant change detection algorithm based on the generation process of T-Cells process in biological system. But when negative selection algorithm is used in distributed intrusion detection, the first problem that we meet is how to distribute the detectors in all detection workstations. To resolve this problem, this paper proposed a novel distributed negative selection algorithm based on the original negative selection algorithm. The core of this distributed negative selection algorithm is the distributing strategy. Two kinds of distributing strategies, random distributing strategy and greedy distributing strategy are given. Then we compared the performance of random distributing strategy and greedy distributing strategy. The experimental results show that: (1) distributed negative selection algorithm can avoid the problem of single point failure, when a part of detection workstations fails, the detection rate does not descend quickly; and (2) when some detection workstations fail, greedy distributing strategy can maintain better detection rate than random distributing strategy.

关键词： Intrusion detection Detectors Workstations change detection algorithms Immune system Protection Biological system modeling detection algorithms Computer science Biological systems

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Object detection with vector quantized binary features

Object detection with vector quantized binary features

引用

Conference on Computer Vision and Pattern Recognition (CVPR)

作者： J. Krumm Intelligent Systems & Robotics Center Sandia National Laboratories Albuquerque NM USA

This paper presents a new algorithm for detecting objects in images, one of the fundamental tasks of computer vision. The algorithm extends the representational efficiency of eigenimage methods to binary features, which are less sensitive to illumination changes than gray-level values normally used with eigenimages. Binary features (square subtemplates) are automatically chosen on each training image. Using features rather than whole templates makes the algorithm more robust to background clutter and partial occlusions. Instead of representing the features with real-valued eigenvector principle components, we use binary vector quantization to avoid floating point computations. The object is detected in the image using a simple geometric hash table and Hough transform. On a test of 1000 images, the algorithm works on 99.3%. We present a theoretical analysis of the algorithm in terms of the receiver operating characteristic, which consists of the probabilities of detection and false alarm. We verify this analysis with the results of our 1000-image test and we use the analysis as a principled way to select some of the algorithm's important operating parameters.

关键词： Object detection Lighting Testing Intelligent robots Laboratories Computer vision Robustness Vector quantization Algorithm design and analysis change detection algorithms

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Parameter estimation and event detection in a simple model of respiratory mechanics

Parameter estimation and event detection in a simple model o...

引用

Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： T.H. Nguyen J.H. Strickl T.C. Jannett Cardiopulmonary Corporation Milford CT USA Department of Electrical and Computer Engineering University of Alabama Birmingham Birmingham AL USA

This paper describes a simulation study of model-based respiratory parameter tracking and event detection. An improved model of respiratory system mechanics was formulated to incorporate separate inspiratory mid expiratory resistances. Parameters were estimated and tracked using an extended Kalman filter. Events were detected using a multiple-model adaptive estimation (MMAE) algorithm.

关键词： Parameter estimation Event detection Respiratory system change detection algorithms Noise level Adaptive estimation Immune system Convergence Signal to noise ratio Cardiology

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Actively Adaptive Multi-Armed Bandit Based Beam Tracking for mmWave MIMO Systems

Actively Adaptive Multi-Armed Bandit Based Beam Tracking for...

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IEEE Conference on Wireless Communications and Networking

作者： Ashim Kumar Arghyadip Roy Ratnajit Bhattacharjee Dept. of Electronics and Electrical Engineering Indian Institute of Technology Guwahati India Mehta Family School of Data Science and Artificial Intelligence (MFSDSAI) Indian Institute of Technology Guwahati India Dept. of Electronics and Electrical Engineering & MFSDSAI Indian Institute of Technology Guwahati India

ISBN: (数字)9798350303582

ISBN: (纸本)9798350303599

Beam tracking methods are instrumental for efficient use of the multi-gigahertz bandwidth available at mmWave frequencies. In this paper, we propose a Multi-armed Bandit (MAB) based Reinforcement Learning (RL) algorithm to periodically select transmitter-receiver beam pairs so as to maximize the average spectral efficiency. Contrary to a traditional Bayesian MAB-based approach, the MAB algorithm proposed by us can track a user as it moves across multiple correlation distances. The algorithm keeps track of the received signal strength to detect a change in the channel correlation and adjusts its strategy to adapt to the new channel conditions. We derive an upper bound on the regret of the proposed algorithm. The proposed algorithm is evaluated on channel data generated using the open-source simulator NYUSIM and is observed to outperform existing algorithms, thus removing the requirement of repeated initial access procedures.

关键词： Correlation Upper bound Protocols Tracking change detection algorithms Spectral efficiency Instruments

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Secret Key Estimation for Image Sequential Steganograph in Transform Domain

Secret Key Estimation for Image Sequential Steganograph in T...

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IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference

作者： Xiangyang Luo Daoshun Wang Ping Wang Fenlin Liu Institute of Information Science and Technology Zhengzhou China Department of Computer Science and Technology Tsinghua University Beijing China

Trivedi et al. presented an effective LMP (locally most powerful) method (2005) to estimate the secret key for sequential steganography in mid- and high-frequency of DCT domain. In this paper, we proposed an improved LMP algorithm, which not only can reliably estimate the secret key for mid- and high-frequency sequential embedding, but also for the case of low-frequency. Moreover, the application of improved algorithm for DWT sequential steganography is discussed. Results of experiment show the performance of improved algorithm is desirable for low-, mid- and high-frequency steganography in DCT domain and in the subbands of DWT domain.

关键词： Steganography Discrete cosine transforms Discrete wavelet transforms Signal to noise ratio Sequential analysis Digital images Spread spectrum communication change detection algorithms Statistics Information science

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Feature Extraction In Sar Images Without Filtering

Feature Extraction In Sar Images Without Filtering

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： A.H. Schistad T. Wahl Norwegian Computing Centre Oslo Norway Norwegian Defence Research Establishment Kjeller Norway

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detection and isolation of abrupt changes in random signals

Detection and isolation of abrupt changes in random signals

引用

IEEE International Symposium on Information Theory

作者： I. Nikiforov Universite de Technologie de Troyes Troyes France

The problem of detecting and isolating abrupt changes in signals and systems with random disturbances is addressed. A simple recursive change detection/isolation algorithm is proposed. It is shown that its statistical... 详细信息

关键词： change detection algorithms Radar detection Delay Signal processing algorithms Sonar detection Radar signal processing Steady-state Isolation technology Fault diagnosis Fault detection

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Collision avoidance system for vehicles applying model predictive control theory

Collision avoidance system for vehicles applying model predi...

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International Conference on Intelligent Transportation

作者： Y. Seki J. Ohya M. Miyoshi Government & Public Corporation System Division Toshiba Corporation Minato Tokyo Japan Power and Industrial Systems Research & Development Center Toshiba Corporation Fuchu Tokyo Japan

One of the most important issues in controlling vehicles automatically is collision avoidance. A collision avoidance system (CAS) should cause the vehicle to stop reliably when a preceding vehicle stops suddenly on the road or when the CAS detects an obstacle. The paper proposes a collision, avoidance algorithm applying model predictive control (MPC) theory. The CAS proposed has the following features: (1) prediction of the future behavior of a vehicle, (2) good ride comfort preventing unnecessary brake reference change. A simple and high-performance CAS can be achieved using the proposed algorithm. Computer simulations have confirmed its high performance.

关键词： Collision avoidance Predictive models Content addressable storage Road vehicles Automatic control Vehicle detection Road accidents change detection algorithms Prediction algorithms Predictive control

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Using distributed consistent branching for efficient reconciliation of mobile workspaces

Using distributed consistent branching for efficient reconci...

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International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom)

作者： Felix Hupfeld Minor Gordon Zuse Institute Berlin Berlin Germany University of Cambridge Cambridge UK

Optimistic replication allows mobile workspaces to remain accessible during interrupted network access, but require consecutive handling of any conflicts. When conflict handling requires manual intervention by the user, the system must not require that conflicts are resolved immediatley after their detection. We present a log-based algorithm for reconciling changes to replicated data that supports deferred manual conflict resolution, while sharing the favorable scalability properties of log-based approaches of small storage and communication overhead. Simulation results validate our design and show that it compares favorably in the relevant metrics with version vector-based designs.

关键词： Mobile communication Scalability change detection algorithms Collaborative work Algorithm design and analysis Frequency

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