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1.th IAPR Conference on Machine Vision Applications, MVA 2009

作者： Mavaddat, Navid Kim, Tae-Kyun Cipolla, Roberto School of Computer Science and Software Engineering University of Western Australia Crawley 6009 Australia Sidney Sussex College University of Cambridge Cambridge CB2 3HU United Kingdom Department of Engineering University of Cambridge Cambridge CB2 1PZ United Kingdom

ISBN: (纸本)9784901122092

In this paper we explore features for text detection within images of scenes containing other background objects using a Support Vector Machine (SVM) algorithm. In our approach, the Haar-like features are designed and utilised on banks of bandpass filters and phase congruency edge maps. The designed features with SVM leverages the properties of text geometry and colour for better differentiation of text from its background in real world scenes. We also evaluate the contributions of the features to text detection by the SVM coefficients, which leads to time-efficient detection by using an optimal subset of features.

关键词： Support vector machines

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Signal extensions in independent component analysis and its application for real-time processing

Signal extensions in independent component analysis and its ...

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Proceedings - The Fourth International Conference on computer and Information Technology (CIT 2004)

作者： Ding, Shuxue Huang, Jie Wei, Daming Omata, Sadao Department of Computer Software Univ. of Aizu Tsuruga Ikki-Machi City Fukushima 965-8580 Japan College of Engineering Nihon University Nakagawara 1 Koriyama City Fukushima 963-8642 Japan Brain Science Institute RIKEN Saitama 351-0198 Japan

ISBN: (纸本)0769522165

In this paper, we investigate some issues related to real-time processing for independent component analysis (ICA), based on gradient learning with simultaneous perturbation stochastic approximation (SPSA). Real-time ICA processing is especially necessary for an application in dynamic mixing environment, since a batch type of ICA processing can work well only in a static or stationary mixing environment. Although there are many choices for an ICA object function to which SPSA can be applied, in this paper, we choose a diagonality of the non-linear correlation matrix as our object function. Theories and implementations of the algorithm are described. Results of computer simulation are also presented to demonstrate the effectiveness.

关键词： Signal processing

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Relational peculiarity oriented data mining

Relational peculiarity oriented data mining

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Proceedings - Fourth IEEE International Conference on Data Mining, ICDM 2004

作者： Zhong, Ning Liu, Chunnian Yao, Y.Y. Ohshima, Muneaki Huang, Mingxin Huang, Jiajin Department of Information Engineering Maebashi Institute of Technology 460-1 Kamisadori-Cho Maebashi 371-0816 Japan Computer Science College Beijing University of Technology Multimedia and Intelligent Software Technology Beijing Municipal Key Laboratory Beijing 100022 China Department of Computer Science University of Regina Regina Sask. S4S 0A2 Canada

ISBN: (纸本)0769521428

Peculiarity rules are a new type of interesting rules which can be discovered by searching the relevance among peculiar data. A main task of mining peculiarity rules is the identification of peculiarity. Traditional methods of finding peculiar data are attribute-based approaches. This paper extends peculiarity oriented mining to relational peculiarity oriented mining. Peculiar data are identified on record level, and peculiar rules are mined and explained in a relational mining framework. The results from preliminary experiments show that relational peculiarity oriented mining is very effective. © 2004 IEEE.

关键词： Data mining

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Iris recognition using genetic algorithms and asymmetrical SVMs

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Machine Graphics and Vision 2010年第1期19卷 33-62页

作者： Roy, Kaushik Bhattacharya, Prabir Department of Computer Science and Software Engineering Concordia University Montreal QC H3G1M8 Canada Department of Computer Science College of Engineering and Applied Sciences University of Cincinnati Cincinnati OH 45221-0030 United States

With the increasing demand for enhanced security, iris biometrics-based personal identification has become an interesting research topic in the field of pattern recognition. While most state-of-the-art iris recognition algorithms are focused on preprocessing iris images, important new directions have been identified recently in iris biometrics research. These include optimal feature selection and iris pattern classification. In this paper, we propose an iris recognition scheme based on Genetic Algorithms (GAs) and asymmetrical Support Vector Machines (SVMs). Instead of using the whole iris region, we elicit the iris information between the collarette and the pupillary boundaries to suppress effects of eyelids and eyelashes occlusions, and pupil dilation, and to minimize the matching error. To select the optimal feature subset together with increasing the overall recognition accuracy, we apply GAs with a new fitness function. The traditional SVMs are modified into asymmetrical SVMs to handle: (1. highly unbalanced sample proportion between two classes, and 2) different types of misclassification error that lead to different misclassification losses. Furthermore, the parameters of SVMs are optimized in order to improve the generalization performance. The proposed technique is computationally effective, with recognition rates of 97.80% and 95.70% on the Iris Challenge Evaluation (ICE) and the West Virginia University (WVU) iris datasets, respectively.

关键词： Genetic algorithms

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Panel: Authentication in constrained environments

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1.t International Workshop on Secure Mobile Ad-hoc Networks and Sensors, MADNES 2005

作者： Burmester, Mike Gligor, Virgil Kranakis, Evangelos Tygar, Doug Zheng, Yuliang De Medeiros, Breno Dept. of Computer Science Florida State University Tallahassee FL 32306 United States Dept. of Electrical and Computer Engineering University of Maryland College Park MD 20742 United States Sch. of Computer Science Carleton University Ont. K1S 5B6 Canada Dept. of Electrical Engineering and Computer Science University of California Berkeley CA 94720-1776 United States Dept. of Software and Information Systems University of North Carolina Charlotte NC 28223 United States

This paper contains the summary of a panel on authentication in constrained environments held during the Secure MADNES'05 Workshop. These were transcribed from hand-written notes. &#1.9; Springer-Verlag Berlin Hei... 详细信息

ISBN: (纸本)9783540366461

关键词： computer networks

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Comparison of ResNet-50 and Vision Transformer Models for Trash Classification 3

Comparison of ResNet-50 and Vision Transformer Models for Tr...

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3rd International Conference on Artificial Intelligence and computer {1., ICAICE 2022

作者： Liu, Jiongli Sun, Jiayou Zhou, Xuan College of Materials science and Engineering Sun Yat-sen University 132 Outer Ring Road East Guangdong Province Guangzhou510006 China College of Mathematics and Informatics South China Agricultural University 483 Wushan Road Guangdong Province Guangzhou510642 China College of Computer and Software Engineering Huaiyin Institute of Technology 1 Knights East Road Jiangsu Province Huai'an City223003 China

ISBN: (纸本)9781510663473

Paper, glass, fruit, scrap metal equipment, and other materials have become domestic garbage as people's living standards have dramatically improved. Plastic trash, including bags, and disposable lunch boxes, has become a global environmental threat. Carrying out waste separation and encouraging waste reduction at the source is a meaningful way to realize the quantification, harmlessness, and resourcefulness of domestic waste. Pictures contain lots of information data and many methods for successfully extracting and examining that information data. Consequently, one of the primary research projects in the field of pictures is the picture classification problem. Traditional image classification techniques can no longer process and extract information from vast amounts of image data quickly. Throughout the experiments, the accuracy of ResNet-50 is lower than ViT, most likely due to its less extensive set of parameters. And the more the parameters of the model, the higher the precision of training. Additionally, the experiment examined the performance of the ResNet-50 model with and without pretraining, and the results showed that the performance of the model without pretraining was noticeably inferior to the model with pretraining. It is better to have a model which has numerous parameters. © 2023 SPIE.

关键词： Image classification

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Communications in Theoretical Physics 2021年第6期73卷 158-166页

作者： Ammarah Raees Umer Farooq Muzamil Hussain Waseem Asghar Khan Fozia Bashir Farooq Faculty of Computer Science and Software Engineering Huaiyin Institute of TechnologyHuai'anChina Department of Mathematics COMSATS University IslamabadPark Road Chak Shahzad Islamabad 44000Pakistan Department of Mathematics College of Sciences AIZulfiMajmaah UniversityA1 Majma'ah11952 Saudi Arabia Department of Mathematics Imam Muhammad ibn Saud Islamic UniversityRiyadh 11432Saudi Arabia Department of Mathematics University of the Poonch RawalakotRawalakot 12350Pakistan

The aspiration of this research is to explore the impact of non-similar modeling for mixed convection in magnetized second-grade nanofluid *** flow is initiated by the stretching of a sheet at an exponential rate in the upward vertical *** buoyancy effects in terms of temperature and concentration differences are inserted in the x-momentum *** aspects of heat and mass transfer are studied using dimensionless thermophoresis,Schmidt and Brownian motion *** governing coupled partial differential system(PDEs)is remodeled into coupled non-similar nonlinear PDEs by introducing non-similar *** numerical analysis for the dimensionless non-similar partial differential system is performed using a local non-similarity method via ***,the quantitative effects of emerging dimensionless quantities on the nondimensional velocity,temperature and mass concentration in the boundary layer are conferred graphically,and inferences are drawn that important quantities of interest are substantially affected by these *** is concluded that non-similar modeling,in contrast to similar models,is more general and more accurate in convection studies in the presence of buoyancy effects for second-grade non-Newtonian fluids.

关键词： non-similar modeling second-grade fluid exponentially stretching surface local non-similarity bvp4c

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DRAFT DESCRIPTION OF PASCAL

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software-PRACTICE & EXPERIENCE 1979年第5期9卷 381-424页

作者： ADDYMAN, AM BREWER, R BURNETTHALL, DG DEMORGAN, RM FINDLAY, W JACKSON, MI JOSLIN, DA REES, MJ WATT, DA WELSH, J WICHMANN, BA Department of Computer Science The University Oxford Road Manchester M13 9PL Software Department GEC Computers Ltd. Elstree Way Borehamwood Hertfordshire Department of Computer Science University of York Heslington York Y01 5DD European Software Engineering Digital Equipment Company Ltd. Fountain House The Butts Centre Reading RG1 7QN Computing Science Department University of Glasgow Glasgow G12 8QQ International Data Engineering Centre ITT Business Systems and Communications Group Latimer House Potters Bar Herts EN6 5DN Hull College of Higher Education Inglemire Avenue Hull HU6 7LJ Computer Studies Group The University Southampton S09 5NH Department of Computer Science Queen's University Belfast BT7 1NN Department of Industry National Physical Laboratory Teddington Middlesex TW1 0LW

This paper provides a description of the programming language Pascal. It has been published to enable those without easy access to the official BSI ‘draft for comment’ to comment on the description.

关键词： Pascal Standards

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Adopting curvilinear component analysis to improve software cost estimation accuracy model, application strategy, and an experimental verification 12

Adopting curvilinear component analysis to improve software ...

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1.th International Conference on Evaluation and Assessment in software {1., EASE 2008

作者： Sarcia, Salvatore A. Cantone, Giovanni Basili, Victor R. DISP Università di Roma Tor Vergata Via del Politecnico 1 Rome00133 Italy Dept. of Computer Science University of Maryland A.V. Williams Bldg. 115 College ParkMD20742 United States Fraunhofer Center for Experimental Software Engineering Maryland College ParkMD20742 United States

Cost estimation is a critical issue for software organizations. Good estimates can help us make more informed decisions (controlling and planning software risks), if they are reliable (correct) and valid (stable). In this study, we apply a variable reduction technique (based on auto-associative feed-forward neural networks – called Curvilinear component analysis) to log-linear regression functions calibrated with ordinary least squares. Based on a COCOMO 81.data set, we show that Curvilinear component analysis can improve the estimation model accuracy by turning the initial input variables into an equivalent and more compact representation. We show that, the models obtained by applying Curvilinear component analysis are more parsimonious, correct, and reliable. © 2008 Evaluation and Assessment in software engineering. All rights reserved.

关键词： Feedforward neural networks

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Test case generation for adequacy of floating-point to fixed-point conversion

Test case generation for adequacy of floating-point to fixed...

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作者： Pham, Tuan-Hung Truong, Anh-Hoang Chin, Wei-Ngan Aoshima, Takenobu Department of Software Engineering College of Technology Vietnam National University Hanoi 144 Xuan Thuy Hanoi Viet Nam Department of Computer Science School of Computing National University of Singapore 3 Science Drive 2 Singapore 117543 Singapore Panasonic RandD Center Vietnam No. 1 Lang-Hoa Lac Hanoi Viet Nam

Porting an application written for personal computer to embedded devices requires conversion of floating-point numbers and operations into fixed-point ones. Testing the conversion hence requires the latter be as close as possible to the former. The closeness is orthogonal to code coverage and requires different strategies to generate a test suite that reveals the gap between the two functions. We introduce a new test adequacy criterion and propose several metrics to quantify the closeness of two functions. After that we propose a method to generate a better test suite from a given one for the test adequacy criteria. We also show experimental results on some well-known mathematical functions. © 201. Elsevier B.V.

关键词： Personal computers

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