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检索条件"任意字段=Conference on Signal and Data Processing of Small Targets 2010"

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A new method of target recognition based on Rough Set and Support Vector Machine

A new method of target recognition based on Rough Set and Su...

引用

International conference on Image Analysis and signal processing, IASP

作者： Zhi-Jun Guo Xin He Zhong-Hui Wei Guo-Long Liang Changchun Institute of Optics Fine Mechanics and physics Chinese Academy and Sciences Changchun China Changchun Institute of Optics Fine Mechanics and Physics Chinese Academy and Sciences Changchun China

Automatic target recognition (ATR) is an important task in image application. This paper concentrates on two key subroutines of ATR system: Pre-treatment and design of classifier. In the pre-treatment subroutine, a new method based on Rough Set (RS) is proposed to partition the original sample set into some subsets and calculate their class membership, so that some samples can be chosen by class membership to be trained. After pre-treatment, an iterative algorithm based on Rough Set and Support Vector Machines (IRSSVM) is introduced to design a classifier for recognizing two types of targets. The experiment results show that IRSSVM needs less training time and the classifier is simpler and has more generalization and higher recognition rate.

关键词： Target recognition Support vector machines Support vector machine classification Iterative algorithms data mining Set theory Helium Physics Algorithm design and analysis Fuzzy set theory

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AN EFFECTIVE NONPARAMETRIC QUICKEST DETECTION PROCEDURE BASED ON Q-Q DISTANCE

AN EFFECTIVE NONPARAMETRIC QUICKEST DETECTION PROCEDURE BASE...

引用

IEEE International conference on Acoustics, Speech, and signal processing

作者： Dayu Yang Hairong Qi Department of Electrical Engineering and Computer Science University of Tennessee Knoxville TN 37996

ISBN: (纸本)9781424442959

Quickest detection schemes are geared toward detecting a change in the state of a data stream or a real-time process. Classical quickest detection schemes invariably assume knowledge of the pre-change and post-change distributions that may not be available in many applications. In this paper, we present a distribution free nonparametric quickest detection procedure based on a novel distance measure, referred to as the Q-Q distance calculated from the Q-Q plot, for detection of distribution changes. Through experimental study, we show that the Q-Q distance-based detection procedure presents comparable or better performance compared to classical parametric and other nonparametric procedures. The proposed procedure is most effective when detecting small changes.

关键词： Quickest Detection Nonparametric Distance Measure Distribution distance measurement data flow State Change

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Bio-inspired Hybrid Face Recognition System for small Sample Size and Large dataset

Bio-inspired Hybrid Face Recognition System for Small Sample...

引用

International conference on Intelligent Information Hiding and Multimedia signal processing (IIHMSP)

作者： Muhammad Imran Razzak Muhammad Khurram Khan Khaled Alghathbar Information Systems Department College of Computer and Information Sciences International Islamic University Malaysia Gombak Malaysia Center of Excellence in Information Assurance (CoEIA) King Saud University Saudi Arabia

Face recognition has a great demands in human authentication and it becomes one of the most intensive field of biometrics research areas. In this paper, we present a bio-inspired face recognition system based on linear discriminant analysis and external clue i.e. geometrical features. The use of external clue helps to identify the face among very close match and secondly it also helps in the creation of small data set. The proposed approach is insensitive to large dataset and small sample size (SSS) and it provides 94.5% accuracy on BANCA face database. Experimental and simulation results shows that the proposed scheme has encouraging results for a practical face recognition system. The computational complexity of proposed system is more than conventional LDA due to the computation of weights during recognition and in external clue but on the other it provides significant performance gain especially on similar face database.

关键词： Face recognition Face Feature extraction databases Humans Principal component analysis Accuracy

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A NEW BEAMFORMING-BASED MEG DIPOLE SOURCE LOCALIZATION METHOD

A NEW BEAMFORMING-BASED MEG DIPOLE SOURCE LOCALIZATION METHO...

引用

IEEE International conference on Acoustics, Speech, and signal processing

作者： Hamid R. Mohseni Saeid Sanei Center of Digital Signal Processing School of Engineering Cardiff University

ISBN: (纸本)9781424442959;9781424442966

In this study a novel deflation based beamforming (BF) method for multiple dipole source localization of surface magnetoencephalogram (MEG) is considered. Two more constraints are added to the conventional BF formulation and a closed-form solution is given. The first constraint minimizes the power of the noise at the output of the BF. The second constraint simultaneously deflates the identified dipoles and identifies the next dipole. This method is called deflation BF and is capable of detecting highly correlated sources, as well as sources with small power which are dominated by other sources. An iterative deflation and localization method is also proposed to improve the accuracy of the method. The proposed method is compared with conventional BF for both simulated and real MEG data.

关键词： Beamforming deflation dipole source localization magnetoencephalogram deflation deflation Beamforming Position measurement dipoles Magnetoencephalography Localization method

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KALMAN FILTER BASED SPEECH SYNTHESIS

KALMAN FILTER BASED SPEECH SYNTHESIS

引用

IEEE International conference on Acoustics, Speech, and signal processing

作者： Carl Quillen MIT Lincoln Laboratory Lexington MA 02420 USA

ISBN: (纸本)9781424442959

Preliminary results are reported from a very simple speech-synthesis system based on clustered-diphone Kalman Filter based modeling of line-spectral frequency based features. Parameters were estimated using maximum-likelihood EM training, with a constraint enforced that prevented eigenvalue magnitudes in the transition matrix from exceeding 1. Frames of training data were assigned diphone unit labels by forced alignment with an HMM recognition system. The HMM cluster tree was also used for Kalman Filter unit cluster assignments. The result is a simple synthesis system that has few parameters, synthesizes intelligible speech without audible discontinuities, and that can be adapted using MLLR techniques to support synthesis of a broad panoply of speakers from a single base model with small amounts of training data. The result is interesting for embedded synthesis applications.

关键词： Speech synthesis Kalman filtering Speech synthesis Kalman filtering S matrix Filters Loudspeakers Hidden Markov models synthesis Training data Kalman filters

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SPATIAL RESOURCE ALLOCATION FOR THE MULTIUSER MULTICARRIER MIMO BROADCAST CHANNEL - A QOS OPTIMIZATION PERSPECTIVE

SPATIAL RESOURCE ALLOCATION FOR THE MULTIUSER MULTICARRIER M...

引用

IEEE International conference on Acoustics, Speech, and signal processing

作者： Christian Guthy Wolfgang Utschick Guido Dietl Associate Institute for Signal Processing Technische Universitat Munchen DOCOMO Communications Laboratories Europe GmbH Munich

ISBN: (纸本)9781424442959

Solving Quality of Service constrained optimization problems in the Multiple-Input Multiple-Output (MIMO) broadcast channel usually requires the iterative solution of a weighted sum rate maximization, which exhibits a considerable amount of numerical complexity itself, especially in Orthogonal Frequency Multiplexing (OFDM) systems. In this paper a low complexity framework for these problems is presented, where the allocation of data streams to users and carriers is done successively. An efficient rule for choosing the user and carrier to be allocated in each step is presented for both linear and non-linear precoding leading to small performance losses compared to the optimum.

关键词： MIMO systems broadcast channels frequency division multiplexing multiple input multiple output systems broadcast channels Frequency division multiplexing Resource utilization Quality of service iterative solution Perspective

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SPARSITY PENALIZED RECONSTRUCTION FRAMEWORK FOR BROADBAND DISPERSION EXTRACTION

SPARSITY PENALIZED RECONSTRUCTION FRAMEWORK FOR BROADBAND DI...

引用

IEEE International conference on Acoustics, Speech, and signal processing

作者： Shuchin Aeron Sandip Bose Henri-Pierre Valero Venkatesh Saligrama Schlumberger-Doll Research Cambridge MA Boston University Boston MA

ISBN: (纸本)9781424442959

We propose a novel broadband method to extract the dispersion curves for multiple overlapping dispersive modes from borehole acoustic data. The proposed approach exploits a first order Taylor series approximation of the dispersion curve in a band around a given (center) frequency in terms of the phase and group slowness at that frequency. Under this approximation, the acoustic signal in a given band can be represented as a superposition of broadband propagators each of which is parameterized by the slowness pair above. These broadband propagators can be viewed as elements from an overcomplete dictionary representation and under the assumption that the number of modes is small compared to the size of the dictionary, it turns out that an appropriately reshaped support image of the coefficient vector synthesizing the signal (using the given dictionary representation) exhibits column sparsity. Our main contribution lies in identifying this feature and proposing a complexity regularized algorithm for support recovery with an l_(1) type simultaneous sparse penalization. Note that support recovery in this context amounts to recovery of the broadband propagators comprising the signal and hence extracting the dispersion, namely, the group and phase slownesses of the modes. We evaluate the performance of the proposed method on synthetic data with known dispersions and show its accuracy in extraction and robustness to the presence of heavy noise and strong interference from time overlapped modes.

关键词： dispersion broadband processing simultaneous sparsity dispersion broadband Dictionaries as Topic SUPPORT RECOVERY center frequency synthetic data

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Three dimensional cartoon reconstruction based on Art rules

Three dimensional cartoon reconstruction based on Art rules

引用

International conference on Image Analysis and signal processing, IASP

作者： Shoukuai Liu Jiajun Wang Zhigeng Pan College of Information Engineering SooChow University Suzhou China State Key Laboratory of CAD & CG University of Zhejiang Hangzhou China

In this paper, a kind of three dimensional reconstruction method based on aesthetic rules is proposed. In this method, the key features of the human face are captured according to human vision. The cartoon reconstruction process is divided into two parts of global deformation and local feature exaggeration. Our method requires only a few typical manually exaggerated models to generate 3D cartoon faces automatically. Experimental results show that our method can achieve proper exaggerations for the details of the five sense organs while maintaining the global characteristics of the human face with small distortions.

关键词： Art Face detection Humans data mining Feature extraction Deformable models Facial features Forehead Interpolation Educational institutions

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BAYESIAN RAO AND WALD TEST FOR RADAR ADAPTIVE DETECTION

BAYESIAN RAO AND WALD TEST FOR RADAR ADAPTIVE DETECTION

引用

IEEE International conference on Acoustics, Speech, and signal processing

作者： Yu Zhou Lin-rang Zhang Key lab. of Radar Signal Processing Xidian Univ. Xi'an Shaanxi 710071 China

ISBN: (纸本)9781424442959

This paper deals with the adaptive detection of a signal of interest in the presence of Gaussian noise with unknown covariance matrix (CM). To this end, we resort to a Bayesian approach based on a suitable model for the probability density function (PDF) of unknown CM. Under this assumption, the maximum a-posteriori (MAP) estimation of CM is derived. The MAP estimate is in turn used to yield Bayesian version of Rao and Wald test. And the importance of the a priori knowledge can be tuned through scalar variable. Remarkably the devised detectors outperform Kelly's GLRT and non Bayesian Rao and Wald test in the presence of strongly heterogeneous scenarios (where a very small number of training data is available). Meanwhile, the coincidence of Bayesian GLRT and Wald test is proved.

关键词： Adaptive detection Rao test Wald test maximum a posteriori (MAP) heterogeneous environment adaptive detector heterogeneous environment Maximum a posteriori estimation Gaussian noise AOC2 gene Meltdown radar Bayes methods Bayesian inference

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Automatic target recognition based on neutral networks

Automatic target recognition based on neutral networks

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International conference on Intelligent Computing and Integrated Systems (ICISS)

作者： Sheng-Zhong Huang Department of Mathematics and Computer Science Liuzhou Teachers College Liuzhou Guangxi China

Several researches published about artificial neural networks are connected with military problems. This research put forward ideas connected with the processing of military information to search and identify targets-automatic target recognition (ATR). A main-purpose automatic target recognition system did not exist. The research put forward here was demonstrated on military data, however it could only be considered as a proof of principle until systems were fielded and proven “under-fire”. A TR data could be in the form of non-imaging one-dimensional sensor returns, such as ultra-high range resolution radar returns for air-to-air automatic target recognition and vibration signatures from laser radar for recognition of ground targets. The ATR data could be two-dimensional images. The most common ATR images were infrared, but current systems might also deal with synthetic aperture radar images. Finally, the data could be three-dimensional, such as sequences of multiple exposures taken over time from a no stationary world.

关键词： Image segmentation signal resolution Image resolution Feature extraction Biology

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