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检索条件"主题词=Algorithm Development"

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NEURAL NETS IN INFORMATION-RETRIEVAL - A CASE-STUDY OF THE 1987 PRAVDA

NEURAL NETS IN INFORMATION-RETRIEVAL - A CASE-STUDY OF THE 1...

引用

1ST CONF ON SCIENCE OF ARTIFICIAL NEURAL NETWORKS

作者： SCHOLTES, JC Univ. of Amsterdam (Netherlands)

ISBN: (纸本)0819408751

This paper presents an implemented neural method for free-text information filtering. A specific interest (or `query') is taught to a Kohonen feature map. By using this network as a neural filter on a dynamic free-text data base, only associated subjects are selected from this data base. The method is compared with some classical statistical information-retrieval algorithms. Various simulations show that the neural net indeed converges toward a proper representation of the query. The algorithm seems well scalable (linear complexity in time and space) resulting in high speeds, little memory needs, and easy maintainability. By combining research results from connectionist natural language processing (NLP) and information retrieval (IR), a better understanding of neural nets in NLP, a clearer view of the relation between neural nets and statistical pattern recognition, and an increased information retrieval quality are obtained.

关键词： Neural networks Neurons Pattern recognition Statistical analysis algorithm development Brain mapping Analytical research Sensors Data processing Systems modeling

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APPLICATION OF DRIFT SPECTROSCOPY FOR THE MATCHING OF DYE EXTRACTS FROM SMALL TEXTILE SAMPLES 8

APPLICATION OF DRIFT SPECTROSCOPY FOR THE MATCHING OF DYE EX...

引用

8TH INTERNATIONAL CONF ON FOURIER TRANSFORM SPECTROSCOPY

作者： KOKOT, S CARSWELL, S Queensland Univ. of Technology (Australia)

ISBN: (纸本)0819407062

A DRIFT method for collecting spectra from dye mixtures (50 - 500 ng) extracted from small textile samples (2 mm yarn) is outlined. Results of experiments using library search routines for matching of IR spectra of simple (< 5 components) dye mixtures indicate that matches can be distinguished satisfactorily, however, with complex (8 - 14 components) dye mixture matching of duplicate spectra is less well defined. The application of principal component analysis for matching and discrimination of small dye extracts from a worn garment suggests that this is a useful approach and can add to the TLC information about the sample.

关键词： Principal component analysis Spectroscopy Forensic science Fourier spectroscopy Fourier transforms Statistical analysis algorithm development Chemistry Infrared spectroscopy Spectral resolution

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HOW TO COMPUTE OFFSETS WITHOUT SELF-INTERSECTION 2

HOW TO COMPUTE OFFSETS WITHOUT SELF-INTERSECTION

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CONF ON CURVES AND SURFACES IN COMPUTER VISION AND GRAPHICS 2

作者： CHIANG, CS HOFFMANN, CM LYNCH, RE Purdue Univ. (United States)

ISBN: (纸本)081940747X

Traditional techniques for computing offsets are local in nature and lack good criteria for eliminating possible self-intersections of the offset. Methods based on integrating differential equations and image processing do not lack such criteria but seem to require constructing the solution in the ambient space, i.e., in one dimension larger than the offset. We investigate such methods.

关键词： Computer graphics Computer vision technology Machine vision Visualization Image segmentation Stars algorithm development Distance measurement Image processing Differential equations

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TOPOLOGICAL PROPERTIES OF LEAST-SQUARES ERROR SURFACES FOR ADAPTIVE IIR FILTERS

TOPOLOGICAL PROPERTIES OF LEAST-SQUARES ERROR SURFACES FOR A...

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CONF ON ADVANCED SIGNAL PROCESSING algorithmS, ARCHITECTURES, AND IMPLEMENTATIONS 3

作者： STONICK, VL Carnegie Mellon Univ. (United States)

ISBN: (纸本)081940943X

In this paper, a new framework for understanding the performance of adaptive IIR filters is proposed and shown to enhance the understanding of filter stability during adaptation in time- varying data environments. This new understanding arises from considering the error surface as defined by the data, rather than the statistics of the data, in a manner analogous to that used to develop recursive least squares (RLS) FIR adaptive filters. The stability of the filter is shown to be dependent on the problem formulation. Defining the time-varying error surface using frequency domain, rather than time domain, methods is shown to result in substantially better stability structure in the performance surface.

关键词： Digital filtering Optical filters Error analysis Finite impulse response filters Infinite impulse response filters Data modeling Electronic filtering Linear filtering Stochastic processes algorithm development

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AUTOMATIC GRAY SCALE TRANSFORMATION IN THE KONICA DIRECT DIGITIZER SYSTEM

AUTOMATIC GRAY SCALE TRANSFORMATION IN THE KONICA DIRECT DIG...

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CONF ON MEDICAL IMAGING 6 : IMAGE PROCESSING

作者： NAGATSUKA, S KANO, A TSUCHINO, H HANDA, H Konica Corp. (Japan)

ISBN: (纸本)0819408042

In x-ray radiographs for use in the medical field, it is desired that the density in the region of interest (ROI, area containing important image consistent for diagnosis) on the x-ray radiograph image is stable and its gradation is adjusted so that the structure of human body and the shade and shadow of the lesion can be observed easily. In developing the Konica Direct Digitizer, which is a digital radiographic image input apparatus to be used exclusively for chest and abdomen images, we have developed a new automatic gray scale transformation algorithm capable of providing most suitable images for diagnosis. The remarkable characteristic of the automatic gray scale transformation algorithm developed this time is to identify automatically the position of ROI in the image and to determine the gray scale transformation conditions based on the image data in the ROI. We investigated 50 clinical images radiographed by Konica Direct Digitizer from the viewpoint of the accuracy of the position of ROI established by the automatic gray scale transformation and of the image finish conditions accomplished by the automatic gray scale transformation. As a result, we have learned that both of them were stable and sufficiently accurate. From now on, we further improve its accuracy by increasing clinical images and applying this system to various regions.

关键词： Image processing Medical imaging algorithm development X-rays Digital imaging X-ray detectors X-ray imaging Chest Radiography Lung

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VARIABILITY OF ULTRA-HIGH RANGE RESOLUTION RADAR PROFILES AND SOME IMPLICATIONS FOR TARGET RECOGNITION

VARIABILITY OF ULTRA-HIGH RANGE RESOLUTION RADAR PROFILES AN...

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CONF ON SIGNAL PROCESSING, SENSOR FUSION, AND TARGET RECOGNITION

作者： COHEN, MN Georgia Institute of Technology (United States)

ISBN: (纸本)0819408646

Radar-based noncooperative target recognition (NCTR) can be attempted based on various types of radar signatures. One natural choice for such a signature domain is that of ultra-high range resolution (UHRR) profiles. These profiles provide a one-dimensional `map' of the target scatterers in the range dimension (with respect to the radar line of sight). Research in this area has shown that this signature domain seems to hold much promise, but that there are concomitant challenges that arise in connection with its exploitation. Radar waveform development, algorithm selection and development, data generation, and algorithm training and testing are all areas that can present acute challenges. This paper focuses on the issues related to the extreme variability that one may expect in UHRR signatures of fixed-wing targets. The degree of variability is quantified and it is shown that this extreme variability contributes to challenges related to algorithm development, training, and testing.

关键词： Radar algorithm development Detection and tracking algorithms Target recognition Data modeling Solids Reflectors Sensors Synthetic aperture radar Weapons

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ANGULAR-MOMENTUM AND BALLISTIC TRACKING

ANGULAR-MOMENTUM AND BALLISTIC TRACKING

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4TH CONF ON THE SIGNAL AND DATA PROCESSING OF SMALL TARGETS 1992

作者： KOLBE, RL Naval Research Lab. (United States)

ISBN: (纸本)0819408638

The correlation and tracking problem for ballistic objects is a major concern for the Strategic Defense Initiative (SDI). In this presentation, the use of angular momentum for gating and assignment of reports and tracks of ballistic objects is proposed. The various errors and appropriate statistical tests that could be used on angular momentum to potentially improve the tracking and correlation, multi-track hypothesis and Kalman filters are studied. The investigation is performed in earth centered inertial Cartesian coordinates for position, velocity, and acceleration in tracking, gating, and assignment. A discussion is given of a brief investigation, the theory developed, the results of numerical test, and the conclusions.

关键词： Error analysis Detection and tracking algorithms Filtering (signal processing) Data processing Signal processing Evolutionary algorithms algorithm development Defense and security Ions Nonlinear filtering

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NEURAL NETWORKS AS COMPONENTS

NEURAL NETWORKS AS COMPONENTS

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1ST CONF ON SCIENCE OF ARTIFICIAL NEURAL NETWORKS

作者： SMITH, G AUSTIN, J Univ. of York (United Kingdom)

ISBN: (纸本)0819408751

This paper promotes and examines the use of neural networks as components. The properties of components desirable for constructing large flexible systems are listed. Some examples of such systems are examined. Neural networks are shown to have these desirable properties. Those characteristics of individual neural network algorithms relevant to system design are described and then examined for some well-known algorithms. The process of designing a neural network system for a particular task is given as an example. Finally, directions for future research are given.

关键词： Neural networks Evolutionary algorithms Binary data Machine learning Artificial neural networks algorithm development Associative arrays Computing systems Internet Visual process modeling

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MINIMUM RISK-DECISIONS IN THE MANAGEMENT OF SUSPECTED HEART-ATTACK - AN APPLICATION OF THE BOLTZMANN PERCEPTRON NETWORK 3

MINIMUM RISK-DECISIONS IN THE MANAGEMENT OF SUSPECTED HEART-...

引用

3RD ANNUAL INTERNATIONAL CONF ON APPLICATIONS OF ARTIFICIAL NEURAL NETWORKS

作者： HARRISON, RF MARSHALL, SJ KENNEDY, RL Univ. of Sheffield (United Kingdom)

ISBN: (纸本)0819408743

The use of artificial neural networks and Bayesian decision theory is proposed to provide a diagnostic tool which is capable not simply of making a correct decision but of allowing expert knowledge to be incorporated leading to the least risky decision. A neural network is used to estimate a posteriori (class) probabilities conditioned on the input data and the expert knowledge is introduced in the form of subjectively assigned weightings on erroneous decisions. An example of a decision aid for the early diagnosis of heart attacks is presented.

关键词： Diagnostics Artificial neural networks Neural networks Probability theory Heart Electrocardiography Binary data algorithm development Chest Distortion

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ANALYSIS OF NONLINEAR MICROWAVE CIRCUITS USING THE HARMONIC-BALANCE TECHNIQUE 6

ANALYSIS OF NONLINEAR MICROWAVE CIRCUITS USING THE HARMONIC-...

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6TH INTERNATIONAL SYMP AND EXHIBITION ON OPTICAL ENGINEERING AND PHOTONICS / 3RD CONF ON OPTOELECTRONIC SIGNAL PROCESSING FOR PHASED-ARRAY ANTENNAS

作者： NGUYEN, C CHRISTODOULOU, CG Texas A&M Univ. (United States) Univ. of Central Florida (United States)

ISBN: (纸本)0819408689

An efficient implementation of the harmonic balance method, using novel numerical algorithms, that are both robust and efficient, coupled with analytical expressions developed for the elements of the Jacobian matrix, is presented. The approach possesses excellent convergence property and speed. Simulated performances using the developed approach for a 10-GHz GaAs MESFET amplifier are found in good agreement with the measured results. Developed techniques should be very useful for analyzing nonlinear microwave as well as optical components.

关键词： algorithm development Microwave radiation Field effect transistors Optical amplifiers Chemical elements Gallium arsenide Nonlinear optics Numerical analysis Device simulation Electrical engineering

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