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检索条件"任意字段=5th International Conference on Pattern Recognition in Bioinformatics"

共 1407 条记录，以下是241-250 订阅

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pattern-recognition APPROACH TO AN ACOUSTICAL QUALITY TEST OF BURNT CERAMIC PRODUCTS 5th

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5th international CONF ON INDUSTRIAL AND ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMS ( IEA/AIE-92 )

作者： KOTTERBA, B rte Ges. für Datenverarbeitung in der Technik mbH Karlsruhe Germany

ISBN: (纸本)354055601X

the productivity of a fabrication is determined by the weakest member. there are many test benches in the ceramic industry today, with inspectors, who qualify the manufactured products according to subjective points of view. Ever increasing piece numbers as well as increased quality requirements lead to ever increasing demands that the inspectors are no longer equal to. An important characteristic in quality determination of ceramic products is their being free from cracks. Cracks can only be discovered by acoustical evaluation. Test equipment for acoustical pattern recognition analysis takes over the inspector’s task today. It recognizes cracks reliably. the error rate is reduced greater selectivity increases productivity. © 1992, Springer Verlag. All rights reserved.

关键词： Cracks

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Automatic pattern recognition on archaeological ceramic by 2D and 3D image analysis : A feasibility study 5

Automatic pattern recognition on archaeological ceramic by 2...

引用

international conference on Image Processing theory Tools and Applications

作者： Teddy, Debroutelle Romain, Janvier Aladine, Chetouani Sylvie, Treuillet Matthieu, Exbrayat Lionel, Martin Sebastien, Jesset Univ Orleans Lab PRISME 12 Rue Blois F-45067 Orleans 2 France Univ Orleans LIFO F-45067 Orleans 2 France Serv Archeol Municipal Orleans F-45000 Orleans France

ISBN: (纸本)9781479986378

the ARCADIA project aims at developing automatic image analysis and machine learning methods to facilitate the interpretation and promotion of an archaeological ceramic heritage. It consists in implementing a 3D digitalization chain of the discovered shards to extract the decoration imprinted by the potters using a carved wood wheel. the characterization of the hollow pattern from a binary map given by the 3D image then allows the automatic classification of these patterns. We propose here a feasibility study by comparing the results of automatic classification from the manual inkings made by archaeologists and those from 3D digitalizations of the same corpus of shards.

关键词： Archaeological ceramic heritage carved wood wheel decoration 3D pattern recognition classification

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Proceedings of the 5th international Workshop on bioinformatics, BIOKDD 2005

Proceedings of the 5th International Workshop on Bioinformat...

引用

5th international Workshop on bioinformatics, BIOKDD 2005 - In Conjunction with 11th ACM SIGKDD international conference on Knowledge Discovery and Data Mining, KDD 2005

ISBN: (纸本)1595932135

the proceedings contain 11 papers. the topics discussed include: motif discovery for proteins using subsequence clustering;graphical models of residue coupling in protein families;computational approaches for bridging genomics and health;predicting cancer susceptibility from single nucleotide polymorphism data: a case study in multiple myeloma;accelerating DNA sequencing-by- hybridization with noise;on discovery of maximal confident rules without support pruning in microarray data;a data-mining approach to cell population de-convolution from gene expressions using particle filters;siRNA off-target search: a hybrid q-gram based filtering approach;analysis of protein-protein interaction networks using random walks;finding cliques in protein interaction networks via transitive closure of a weighted graph;and boosting performance of bio-entity recognition by combining results from multiple systems.

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Facial expression recognition using game theory

Facial expression recognition using game theory

引用

5th INNS IAPR TC 3 GIRPR Workshop on Artificial Neural Networks for pattern recognition, ANNPR 2012

作者： Roy, Kaushik Kamel, Mohamed S. Centre for Pattern Analysis and Machine Intelligence University of Waterloo ON Canada

ISBN: (纸本)9783642332111

Accurate detection of lip contour is important in many application areas, including biometric authentication, human computer interaction, and facial expression recognition. In this paper, we propose a new lip boundary localization scheme based on Game theory (GT) to improve the facial expression detection performance. In addition, we use GT for selecting the proper set of facial features. We apply the Extended Contribution-Selection Algorithm (ECSA) for the dimensionality reduction of the facial features using a coalitional GT-based framework. We have conducted several sets of experiments to evaluate the proposed approach. the results show that the proposed approach has achieved recognition rates of 93.1% and 92.7% on the JAFFE and CK+ datasets, respectively. © 2012 Springer-Verlag.

关键词： Game theory

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Motion classification for analyzing the order picking process using mobile sensors: General concepts, case studies and empirical evaluation 5

Motion classification for analyzing the order picking proces...

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5th international conference on pattern recognition Applications and Methods, ICPRAM 2016

作者： Feldhorst, Sascha Masoudinejad, Mojtaba Ten Hompel, Michael Fink, Gernot A. Department of Materials Handling and Warehousing TU Dortmund University Dortmund Germany Pattern Recognition Group TU Dortmund University Dortmund Germany

ISBN: (纸本)9789897581731

this contribution introduces a new concept to analyze the manual order picking process which is a key task in the field of logistics. the approach relies on a sensor-based motion classification already used in other domains like sports or medical science. thereby, different sensor data, e. g. acceleration or rotation rate, are continuously recorded during the order picking process. With help of this data, the process can be analyzed to identify different motion classes, like walking or picking, and the time a subject spends in each class. Moreover, relevant motion classes within the order picking process are defined which were identified during field studies in two different companies. these classes are recognized by a classification system working with methods from the field of statistical pattern recognition. the classification is done with a supervised learning approach for which promising results can be shown. © Copyright 2016 by SCITEPRESS -Science and Technology Publications, Lda. All rights reserved.

关键词： pattern recognition

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A novel fuzzy neural network for pattern recognition

A novel fuzzy neural network for pattern recognition

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5th IEEE international conference on Cognitive Informatics (ICCI 2006)

作者： Zhao, Yibiao Wang, Song Zhang, Shun Pu, Jian Fang, Rui Beijing Jiaotong Univ Sch Traff & Transportat Beijing Peoples R China

ISBN: (纸本)9781424404759

Neural network system is a self - learning adaptive system, and it is easy to associate, synthesize and generalize with its properties of fault - tolerance and robustness. therefore, it is available to process the pattern information, which is hard to describe with language. In consideration of the shortage of Fuzzy theory and the advantage of vague set, that is Fuzzy membership function has only one single value;it cannot get more reasonable classified and cognizable results. While vague sets' distinguishing feature is having two values which present both of the opposite factors to deal with nonlinearities and uncertain system. In this paper, we define new fuzzy neurons and propose the structure of Vague Neural Network (VNN), and then we expounded the recognition method based on it.

关键词： fuzzy neural network Vague set pattern recognition information proceeding method

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Multiscale wavelet support vector machine for image approximation

Multiscale wavelet support vector machine for image approxim...

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5th international conference on Wavelet Analysis and pattern recognition

作者： Cheng, Hui Lu, Chi Han, Hai Tian, Jin-Wen Jianghan Univ Sch Math & Comp Sci Wuhan 430056 Peoples R China Huazhong Univ Sci & Technol Inst Pattern Recongnit & Artificial Intelligence Wuhan 430074 Peoples R China

ISBN: (纸本)9781424410651

In this paper, a new, multiscale wavelet support vector machines model (MWSVM) is proposed, according to the Mercer condition, the wavelet frame theory and kernel function nature. From the statistical learning theory and the SVM model, pointed out the SVM essence is kernel method, the different kernel function has decided the different SVM. the choice of kernel parameters is simplified in MWSVM. By the experiment with the single-variable two-variable function and real image, the new model can approach linear and the non-linear combination functions very well. the experimental result shows that MWSVM is the validity and the usability.

关键词： SVM kernel function wavelet SVR

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Jamming pattern recognition Using Spectrum Waterfall: A Deep Learning Method 5

Jamming Pattern Recognition Using Spectrum Waterfall: A Deep...

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5th IEEE international conference on Computer and Communications, ICCC 2019

作者： Cai, Yuan Shi, Kai Song, Fei Xu, Yifan Wang, Ximing Luan, Heyu Army Engineering University of PLA College of Communications Engineering Nanjing China PLA 31121 Troops Nanjing China

ISBN: (纸本)9781728147437

It is very important for communication equipment to realize the recognition and prediction of jamming signals in a short time. In the communication environment with variable jamming mode and noise, it is very difficult to achieve rapidly jamming recognition. To solve this problem, this paper constructs a spectrum waterfall containing white gaussian noise signals, designs a jamming pattern recognition method based on deep learning, and realizes rapid recognition of jamming patterns and important parameters. Simulation results show that the training process of this method has considerable accuracy and the test process has high recognition rate. © 2019 IEEE.

关键词： Jamming

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Robust Person Identification based on DTW Distance of Multiple-Joint Gait pattern 5th

Robust Person Identification based on DTW Distance of Multip...

引用

5th international conference on Information Systems Security and Privacy (ICISSP)

作者： Mori, Takafumi Kikuchi, Hiroaki Meiji Univ Grad Sch Adv Math Sci Tokyo 1648525 Japan Meiji Univ Sch Interdisciplinary Math Sci Tokyo 1648525 Japan

ISBN: (纸本)9789897583599

Gait information can be used to identify and track persons. this work proposes a new gait identification method aggregating multiple features observed by a motion capture sensor and evaluates the robustness against obstacles in walking. the simplest gait identification is to use gait statistics, but these are not a significant feature with regard to identifying people accurately. Hence, in this work, we use the dynamic time warping (DTW) algorithm to calculate distances of gait sequences. DTW is a pattern-matching algorithm mainly used in speech recognition. It can compare two sets of time series data, even when they have different lengths. We also propose an optimal feature integration method for DTW distances. For evaluating the proposed method, we developed a prototype system and calculated the equal error rate (EER) using 31 subjects. As a result, we clarified that the EER of the proposed method is 0.036 for normal walking, and that it is robust to some obstacles in walking.

关键词： Gait Biometrics DTW Person Identification

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An Analytical Framework Design for Latent Fingerprint Reconstruction, Enhancement and recognition 5

An Analytical Framework Design for Latent Fingerprint Recons...

引用

5th international conference System Modeling and Advancement in Research Trends (SMART)

作者： Kaushal, Himanshi Kaur, Anit Verma, Amit Chandigarh Engn Coll Comp Sci & Engn Chandigarh Punjab India

ISBN: (纸本)9781509035434

Latent fingerprints captured at the crime scene plays significant role as an evidence to capture the criminals. As latent fingerprints are the accidently left skin impressions, so these are found to be with broken ridge composition, overlapped patterns and spoiled minutiae information. there latent fingerprint are of no use until the reconstruction & enhancement of their ridges, quality and minutiae information. Manual reconstruction, enhancement and recognition of latent fingerprints is much expensive, dull and time overriding procedure. So, Researchers are continuously working to design an autonomous latent fingerprint recognition system but facing various challenges like availability of spoiled ridges, less information & background noise, lack of publicly availability of latent fingerprint dataset and non-availability of any specific method for fingerprint matching. In this paper, an analytical framework is presented for the reconstruction, enhancement and recognition of latent fingerprints. Initially hybrid approach of Exemplar Inpainting and Partial Differential Equation is applied for the reconstruction of spoiled ridges. Enhancement is performed to reduce the noise value and final matching is performed using binarisation approach to recognize the criminals. the proposed concept is tested for the dataset of NIST SD-27 database with the evaluation parameters of False Acceptance Rate and Genuine Acceptance Rate.

关键词： Forensics Ridges Reconstruction Minutiae Information pattern recognition Image Enhancement Feature Extraction Latent Fingerprints

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