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Edge detector evaluation using empirical ROC curves

COMPUTER VISION AND IMAGE UNDERSTANDING 2001年第1期84卷 77-103页

作者： Bowyer, K Kranenburg, C Dougherty, S Univ Notre Dame Dept Comp Sci & Engn Notre Dame IN 46556 USA Univ S Florida Dept Comp Sci & Engn Tampa FL 33620 USA

We demonstrate a method for evaluating edge detector performance based on receiver operating characteristic (ROC) curves. Edge detector output is matched against ground truth to count true positive and false positive edge pixels. A detector's parameter settings are trained to give a best ROC curve on one image and then tested on separate images. We compute aggregate ROC curves based on 1 set of 50 object images and another set of 10 aerial images. We analyze the performance of 11 different edge detectors reported in the literature. (C) 2001 Elsevier Science (USA).

关键词： performance evaluation experimental computer vision edge detection comparison of algorithms

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algorithms and codes for dense assignment problems: the state of the art

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DISCRETE APPLIED MATHEMATICS 2000年第1-2期100卷 17-48页

作者： Dell'Amico, M Toth, P Univ Modena DISMI I-42100 Reggio Emilia Italy Univ Bologna DEIS I-40136 Bologna Italy

The paper considers the classic linear assignment problem with a min-sum objective function, and the most efficient and easily available codes for its solution, We first give a survey describing the different approaches in the literature, presenting their implementations, and pointing out similarities and differences, Then we select eight codes and we introduce a wide set of dense instances containing both randomly generated and benchmark problems. Finally we discuss the results of extensive computational experiments obtained by solving the above instances with the eight codes, both on a workstation with Unix operating system and on a personal computer running under Windows 95. (C) 2000 Elsevier Science B.V. All rights reserved.

关键词： linear assignment problem experimental evaluation comparison of algorithms dense matrices

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Preventive maintenance and replacement optimization on CNC machine using multiobjective evolutionary algorithms

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INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 2015年第9-12期76卷 2131-2146页

作者： Moghaddam, Kamran S. Calif State Univ Fresno Dept Informat Syst & Decis Sci Craig Sch Business Fresno CA 93740 USA

In this paper, a multiobjective optimization model is formulated to determine the optimal preventive maintenance plans for a repairable multicomponent manufacturing system with increasing rate of occurrence of failure. The operational planning horizon is segmented into discrete and equally sized periods, and in each period, three possible maintenance actions (repair, replacement, or do nothing) have been considered for each component. The developed multiobjective nonlinear mixed-integer programming model is then utilized to find the Pareto-optimal preventive maintenance schedules for a computer numerical control (CNC) machine. In order to obtain the Pareto-optimal solutions, five multiobjective evolutionary algorithms are considered, and computational performance of the algorithms is evaluated using different metrics. It is found that three of these algorithms outperform the others in obtaining more and high-quality nondominated preventive maintenance and replacement schedules along with maintaining high level of diversity among generated solutions. Such a modeling approach and the comparison of algorithms would be useful for maintenance planners tasked with the problem of developing optimal maintenance plans for multicomponent manufacturing machines.

关键词： Preventive maintenance and replacement optimization CNC machine Multiobjective evolutionary algorithms comparison of algorithms

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Comparative evaluation of retrospective shading correction methods

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JOURNAL OF MICROSCOPY-OXFORD 2002年第3期208卷 212-223页

作者： Tomazevic, D Likar, B Pernus, F Univ Ljubljana Dept Elect Engn Ljubljana 1000 Slovenia

Because of the inherent imperfections of the image formation process, microscopical images are often corrupted by spurious intensity variations. This phenomenon, known as shading or intensity inhomogeneity, may have an adverse affect on automatic image processing, such as segmentation and registration. Shading correction methods may be prospective or retrospective. The former require an acquisition protocol tuned to shading correction, whereas the latter can be applied to any image, because they only use the information already present in an image. Nine retrospective shading correction methods were implemented, evaluated and compared on three sets of differently structured synthetic shaded and shading-free images and on three sets of real microscopical images acquired by different acquisition set-ups. The performance of a method was expressed quantitatively by the coefficient of joint variations between two different object classes. The results show that all methods, except the entropy minimization method, work well for certain images, but perform poorly for others. The entropy minimization method outperforms the other methods in terms of reduction of true intensity variations and preservation of intensity characteristics of shading-free images. The strength of the entropy minimization method is especially apparent when applied to images containing large-scale objects.

关键词： comparison of algorithms image processing intensity variations quantitative microscopy performance evaluation shading correction

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Understanding the merits of winning data competition solutions for varied sets of objectives

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STATISTICAL ANALYSIS AND DATA MINING 2021年第6期14卷 556-574页

作者： Lu, Lu Anderson-Cook, Christine M. Zhang, Miaolu Univ S Florida Tampa FL USA Los Alamos Natl Lab Los Alamos NM USA

Data competitions provide an efficient cost-effective way to obtain diverse solutions for challenging problems across a wide variety of applications. The competition leaderboard, by necessity, must combine multiple objectives into a single scoring formula to determine winners and allocate prize money. However, after the competition concludes, the host may wish to choose a best solution for a particular scenario that focuses on only a subset of all the competition objectives. Through the use of Pareto fronts and graphical summaries, we describe how top solutions for a specific scenario can be identified and compared. The strategy uses intentional tie-handling, thresholds to eliminate undesirable solutions and Pareto fronts to identify objectively superior solutions for a subset of objectives. Then the strengths and weaknesses of different alternatives can be compared to find the ideal solution for the problem. The methods are illustrated with a real Topcoder data competition hosted by Los Alamos National Laboratory that used 16 different objectives to evaluate the quality of solutions for urban radiation search.

关键词： comparison of algorithms data competitions graphical summaries multi-objective optimization objective versus subjective Pareto fronts

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Niche Modelling: a comparison between modelling methods best applied for Cnidaria niche dispersion studies

Niche Modelling: a comparison between modelling methods best...

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作者： Lima, Alessandra Vallim Universidade Estadual Paulista

Recently, ecological niche modelling has been receiving more attention in several areas in biology, due to the evolution of personal computers, and the increasing availability of data used in modelling. The results obtained can be used in preventive actions such as species management and invasive species distribution. Since its increasing popularity, several algorithms are available and undergoing tests regarding their performance towards different phylum. Marine invertebrates, more specifically cnidarians, present few studies on this field, and should receive closer attention in the next years due to worldwide increases in jellyfish population (blooms), and bleaching in almost every known shallow water coral reef. Because of this gap of information, we chose this still poor studied group to compare three algorithms. We used MAXENT, GARP and AquaMaps in its desktop form and selected them based on other studies comparing algorithms. Our aim was to, based on different organisms of the phylum Cnidaria, Lychnorhiza lucerna, Chrysaora lactea, Phyllorhiza punctata, Tamoya haplonema, Ceriantheomorphe brasiliensis and Mussismilia hispida, compare those algorithms and examine which one performed the best. Our results shown that MAXENT outperformed the other algorithms both regarding de Area Under the ROC Curve (AUC) and the map distribution. GARP show varying results with generalized maps and AquaMaps was the least accurate of them. Our results are similar to those found in other papers, thus meaning that MAXENT is the most reliable software when it comes to modelling these *** ultimas décadas, modelagem de nicho ecológico vem recebendo maior atenção em diversas áreas da biologia devido a evolução dos computadores pessoais e aumento dos dados disponíveis utilizados para a modelagem. Os resultados obtidos podem ser utilizados em ações preventivas, tais quais manejo de espécie e acompanhamento da distribuição de espécies invasoras. Desde o aumento dessa popularidade, d

关键词： Niche Modelling Cnidaria comparison of algorithms Comparação de algoritmos Modelagem de Nicho Dissertação de mestrado

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Bundled Software for Simulation Modeling

Bundled Software for Simulation Modeling

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International Symposium on Signals, Circuits and Systems (ISSCS)

作者： Dubinin, D. Geringer, V. Kochegurov, A. Reif, K. Tomsk State Univ Control Syst & Radioelect Tomsk Russia BadenWuerttemberg Cooperat State Univ Fac Engn Friedrichshafen Germany Natl Res Tomsk Polytechn Univ Tomsk Russia

ISBN: (纸本)9781467361415

The paper is dedicated to issues of special software development for stochastic modeling "CS sF". It considers the short description of the software features, a generalized block diagram "CS sF", series of morphologies of obtained space-time signals (STS) and their bitmap images. The numerical simulations results of generated STS statistical processing are presented. The directions of perspective research are formulated. The possibility of theoretical information analysis of STS provided by this software is shown. The results of a numerical experiment set based on stochastic simulation package "CS sF" are given.

关键词： Stochastic simulation research on models models of random fields space-time signals two-dimensional renewal process ordinary point process of Palms one-step Markov chains comparison of algorithms

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Research on Text Classification Based on SVM-KNN 5

Research on Text Classification Based on SVM-KNN

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5th IEEE International Conference on Software Engineering and Service Science (ICSESS)

作者： Lin, Yun Wang, Jie Capital Normal Univ Beijing Peoples R China

ISBN: (纸本)9781479932795

A new text classification algorithm has been put forward based on basic support vector machine algorithm. The SVM-KNN algorithm for text classification has been proposed which combined SVM algorithm and KNN algorithm. The SVM-KNN algorithm can improve the performance of classifier by the feedback and improvement of classifying prediction probability. The actual effect of SVM-KNN algorithm is tested and the performance is proved in related Chinese web page classification test system.

关键词： comparison of algorithms text classification SVM KNN

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Seismic hazard computations for regions with low earthquake activity - A case study for the Belgium, The Netherlands and NW Germany area

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Natural Hazards 1989年第3-4期2卷 229-236页

作者： de Crook, Theo Schenk, Vladimír Barbano, M.S. Colombo, F. Egozcue, J.J. García-Fernández, M. Kottnauer, P. Leydecker, G. Mantlík, F. Schenková, Z. Zonno, G. Division of Seismology KNMI De Bilt 3730 AE PO Box 201 Netherlands Geophysical Institute Czechoslovakia Academy of Sciences Prague 4 Spořilov 14131 Yugoslavia Inst. of Earth's Sciences University of Udine Italy Inst. for Geophysics of the Lithosphere CNR Milan Italy ETSICCP Politechnical Univ. of Catalunya Barcelona Spain Inst. of Geophysics Fed. Inst. Techn. ETH Zurich Switzerland Geophys. Inst. Czechosl. Acad. Sci. Prague Yugoslavia Bundesanst. f. Geowissensch. und Rohstoffe Hanover Germany

The algorithms to evaluate seismic hazard, used and/or developed by five teams participating in the TERESA project, applied to the low seismicity area 'Belgium, The Netherlands and NW Germany' are compared. The main differences in the results can be explained by the majority criterion of Egozcue et al. (1989), the differences in the upper bound and zonification and, in some cases, by a higher attenuation. © 1989 Kluwer Academic Publishers.

关键词： comparison of algorithms low earthquake activity seismic hazard TERESA project

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Tuning algorithms for Jumbled Matching 19

Tuning Algorithms for Jumbled Matching

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Prague Stringology Conference (PSC)

作者： Chhabra, Tamanna Ghuman, Sukhpal Singh Tarhio, Jorma Aalto Univ Dept Comp Sci POB 15400 FI-00076 Aalto Finland

ISBN: (纸本)9788001057872

We consider the problem of jumbled matching where the objective is to find all permuted occurrences of a pattern in a text. Besides exact matching we study approximate matching where each occurrence is allowed to contain at most k wrong or superfluous characters. We present online algorithms applying bit-parallelism to both types of jumbled matching. Most of our algorithms are variations of earlier algorithms. We show by practical experiments that our algorithms are competitive with the previous solutions.

关键词： jumbled matching Abelian matching permutation matching approximate string matching comparison of algorithms counting algorithm algorithm engineering

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