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Planar shapes descriptors based on the turning angle scalogram

引用

5th international conference on Image Analysis and recognition

作者： Kpalma, Kidiyo Yang, Minqiang Ronsin, Joseph Inst Natl Sci Appl IETR UMR CNRS 6164 Grp Image Teledetect Rennes France

ISBN: (纸本)9783540698111

In a previous paper, we have presented an original approach for 2-D shapes representation. Based on a multi-scale analysis of closed contours, this method deals with the scalogram of the differential turning angle. We then showed that this representation is rotation, translation and scale change invariant and that it is also shearing and noise resistant. In this paper, we propose some features extracted from this scalogram. this enables us to evaluate the turning angle scalogram representation of planar objects in the context of pattern recognition. When applied to shape retrieval from a database and for various transformations (deformations), experimental results confirm the efficiency of this new description approach.

关键词： pattern recognition planar object contour smoothing Gaussian filter differential-turning angle curvature scale space turning angle scalogram

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Statistical machine translation decoding using target word reordering

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10th international Symposium on Structural and Syntactic pattern recognition/5th international conference on Statistical Techniques in pattern recognition

作者： Tomás, J Casacuberta, F Univ Politecn Valencia Inst Tecnol Informat E-46071 Valencia Spain

ISBN: (纸本)3540225706

In the field of pattern recognition, the design of an efficient decoding algorithm is critical for statistical machine translation. the most common statistical machine translation decoding algorithms use the concept of partial hypothesis. Typically, a partial hypothesis is composed by a subset of source positions, which indicates the words that have been translated in this hypothesis, and a prefix of the target sentence. thus, the target sentence is generated from left to right obtaining source words in an arbitrary order. We present a new approach, where the source sentence is translated from left to right and the possible word reordering is performed at the target prefix. We implemented this approach using a multi-stack decoding technique for a phrase-based model, and compared it with both a conventional approach and a monotone approach. Our experiments show how the new approach can significantly reduce the search time without increasing the search errors.

关键词： pattern recognition

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Improving radial triangulation-based forensic palmprint recognition according to point pattern comparison by relaxation

Improving radial triangulation-based forensic palmprint reco...

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2012 5th IAPR international conference on Biometrics, ICB 2012

作者： Wang, Ruifang Ramos, Daniel Fierrez, Julian Biometric Recognition Group-ATVS Universidad Autónoma de Madrid C/ Francisco Tomas y Valiente 11 28049 Madrid Spain

ISBN: (纸本)9781467303941

Forensic palmprint recognition, which mainly deals with high-resolution palmprints and latent-to-full palmprint comparison, has aroused research highlights because of the increased use of the evidence of palmprints in forensics. there are some in-depth works on high-resolution palmprint preprocessing (i.e., segmentation and enhancement) and feature extraction. However, few works on latent-to-full palmprint comparison have been done. Recently, radial triangulation-based latent-to-full palmprint comparison algorithm was proposed as it has been proposed for forensic likelihood ratio computation using fingerprints, and proved to have identification usability and efficiency for palmprint comparison. In this work, we generalize point pattern comparison by relaxation to minutiae-based palmprint recognition and improve the latent-to-full palmprint comparison algorithm based on radial triangulation. Firstly, local minutiae comparison is modified according to novel point pattern comparison method and global minutiae comparison is based on centroid distribution. then logistic regression learning is used for comparison score computation. Performance of the proposed algorithm is evaluated on forensic databases including 22 latent palmprints from real cases and 8680 full palmprints from criminal investigation field. Experimental results show the improvement on identification accuracy and efficiency of our approach. A rank-1 identification rate of 69% is achieved, compared with 63% of previous radial triangulation-based. © 2012 IEEE.

关键词： Palmprint recognition

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Algorithms comparation of feature extraction and multi-class classification for fault diagnosis of analog circuit

Algorithms comparation of feature extraction and multi-class...

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5th international conference on Wavelet Analysis and pattern recognition

作者： Wang, An-Na Liu, Jun-Fang Yuan, Wen-Jing Li, Hua Northeastern Univ Sch Informat Sci & Engn Shenyang 110006 Peoples R China

ISBN: (纸本)9781424410651

For the novelties or anomalies of faulty signals occur in a damage circuit and fault signals vary with different circuit damages. To ensure the accuracy, and reliability of diagnosis, it is very important to extract the characteristic features of fault signals. Two feature extraction methods based on wavelet packet transform is proposed to treat transient signals: optimal wavelet packet transform (OWPT) and incomplete wavelet packet transform (IWPT). For the fault signals decomposed, the energy in each frequency band may be heightened or be reduced, so a novel 'energy-fault' method is put forward to extract fault features. the problem of fault diagnosis of analog circuit is actually a pattern recognition problem. Nowadays, the binary free support v;ector machines (BTSVMs) is usually used for multi-class classification, but the structure of the binary tree is closely related to the classification performance of binary tree support vector machines (BTSVMs). A new separability measure method based on the space distribution of pattern classes is applied to construct different binary trees. three BTSVMs classifiers based on the separability measure are defined in this paper: inclined binary tree Support vector machines (IBTSVMs), balanced binary tree support vector machines (BBTSVMs) and adaptive binary tree support vector machines (ABTSVMs). Simulation results show us that the OWPT method is prefect for soft fault diagnosis, the IWPT for hard fault diagnosis, and the BBTSVMs multi-classifier possesses better classification speed, the ABTSVMs multi-classifer better classification accuracy.

关键词： fault diagnosis feature extraction pattern recognition

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5th international Symposium on Intelligent Data Analysis, IDA 2003

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5th international Symposium on Intelligent Data Analysis, IDA 2003

ISBN: (纸本)3540408134

the proceedings contain 56 papers. the special focus in this conference is on Machine Learning, Probability and Topology. the topics include: Pruning for monotone classification trees;regularized learning with flexible constraints;learning to answer emails;a semi-supervised method for learning the structure of robot environment interactions;using domain specific knowledge for automated modeling;resolving rule conflicts with double induction;a novel partial-memory learning algorithm based on grey relational structure;constructing hierarchical rule systems;text categorization using hybrid multiple model schemes;learning dynamic bayesian networks from multivariate time series with changing dependencies;topology and intelligent data analysis;coherent conditional probability as a measure of information of the relevant conditioning events;very predictive ngrams for space-limited probabilistic models;learning linear classifiers sensitive to example dependent and noisy costs;an effective associative memory for pattern recognition;similarity based classification;numerical attributes in decision trees;similarity-based neural networks for applications in computational molecular biology;combining pairwise classifiers with stacking and adapting association rule learning to subgroup discovery.

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Universal Access in Human-Computer Interaction. Applications and Services 1

引用

丛书名： Lecture Notes in Computer Science

1000年

作者： Constantine Stephanidis

ISBN: (数字)9783642027130

ISBN: (纸本)9783642027123

the 13th international conference on Human–Computer Interaction, HCI Inter- tional 2009, was held in San Diego, California, USA, July 19–24, 2009, jointly with the Symposium on Human Interface (Japan) 2009, the 8th international conference on Engineering Psychology and Cognitive Ergonomics, the 5th international conference on Universal Access in Human-Computer Interaction, the third international Conf- ence on Virtual and Mixed Reality, the third international conference on Internati- alization, Design and Global Development, the third international conference on Online Communities and Social Computing, the 5th international conference on Augmented Cognition, the Second international conference on Digital Human Mod- ing, and the First international conference on Human Centered Design. A total of 4,348 individuals from academia, research institutes, industry and gove- mental agencies from 73 countries submitted contributions, and 1,397 papers that were judged to be of high scientific quality were included in the program. these papers - dress the latest research and development efforts and highlight the human aspects of the design and use of computing systems. the papers accepted for presentation thoroughly cover the entire field of human–computer interaction, addressing major advances in knowledge and effective use of computers in a variety of application areas.

关键词： User Interfaces and Human Computer Interaction Special Purpose and Application-Based Systems pattern recognition Computers and Society Computer Graphics Computer Imaging, Vision, pattern recognition and Graphics

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Inferring Gene Structures in Genomic Sequences Using pattern recognition and Expressed Sequence Tags

Inferring Gene Structures in Genomic Sequences Using Pattern...

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5th international conference on Intelligent Systems for Molecular Biology, ISMB 1997

作者： Xu, Ying Mural, Richard J. Uberbacher, Edward C. Computer Science and Mathematics Division Oak Ridge National Laboratory Oak RidgeTN37831-6364 United States Life Sciences Division Oak Ridge National Laboratory Oak RidgeTN37831-6364 United States

ISBN: (纸本)1577350227

Computational methods for gene identification in genomic sequences typically have two phćises: coding region prediction and gene parsing. While there are many effective methods for predicting coding regions {exons), parsing the predicted ex-ons into proper gene structures, to a large extent, remains an unsolved problem. this paper presents an algorithm for inferring gene structures from predicted exon candidates, based on Expressed Sequence Tags (ESl's) and biological intuition/rules. the algorithm first finds all the related ESTs in the EST database (dbEST) for each predicted exon, and infers the boundaries of one or a series of genes based on the available EST information and biological rules. then it constructs gene models within each peiir of gene boundaries, that are most consistent with the EST information. By exploiting EST information and biological rules, the ćilgorithm can (1) model complicated multiple gene structures, including embedded genes, (2) identify falsely-predicted ex-ons and locate missed exons. and (3) make more accurate exon boundary predictions. the algorithm has been implemented and tested on long genomic sequences with a number of genes. Test results show that very accurate (predicted) gene models can be expected when related ESTs *** for the predicted exons. Copyright © 1997, AAAI (***). All rights reserved.

关键词： Genes

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TR-LBP: A modified Local Binary Pattem-based technique for 3D face recognition 5

TR-LBP: A modified Local Binary Pattem-based technique for 3...

引用

5th international conference on Emerging Applications of Information Technology, EAIT 2018

作者： Dutta, Koushik Bhattacharjee, Debotosh Nasipuri, Mita Department of Computer Science and Engineering Jadavpur University Kolkata India

ISBN: (纸本)9781538637197

In this paper, a novel technique has been introduced for 3D face recognition based on the modified local binary pattern extracted from a 3D range image. the new LBP technique is applied to shape index of 3D facial surface data. the novelty of this technique illustrates that a modified local binary pattern termed as Triangular Local Binary pattern (TR-LBP), which gives new texture representation of 3D facial surface for improvement of facial texture classification performance compared to other variants of LBP. In this paper, authors have also described the TR-LBP technique by extending it on 2D intensity image of same subjects. Entropy-based feature extraction is used for feature vector creation. Further, KNN is used for calculating classification accuracy on two popular 3D face databases: Frav3D and Bosphorous. Here the classifications results are compared with other two existing LBP techniques applied to range images and shape index (SI) form of range image respectively. © 2018 IEEE.

关键词： Local binary pattern

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Multichannel pattern recognition neural network 5th

Multichannel pattern recognition neural network

引用

5th international Work-conference on Artificial and Natural Neural Networks (IWANN 99)

作者： Fernández-Delgado, M Presedo, J Barro, S Univ Santiago de Compostela Santiago De Compostela 15701 Spain Univ Extremadura Fac Politecn Caceres Spain

ISBN: (纸本)3540660690

the present work describes an improved version of MART (Multichannel ART), a neural network aimed at the adaptive recognition of multichannel patterns. As is habitual in ART networks, MART is directed at problems that require unsupervised learning, but it has a greater level of adaptability to the characteristics of the input patterns, selectively evaluating the different signal channels on which it operates and the classes learnt, modulating the discrimination capacity, and dynamically learning / forgetting classes with regard to their level of representativity.

关键词： pattern recognition

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Extraction of type style based meta-information from imaged documents 5

Extraction of type style based meta-information from imaged ...

引用

5th international conference on Document Analysis and recognition, ICDAR 1999

作者： Garain, U. Chaudhuri, B.B. Computer Vision and Pattern Recognition Unit Indian Statistical Institute 203 Barrackpore Trunk Road Calcutta700 035 India

ISBN: (纸本)0769503187

Extraction of some meta-information from printed documents without an OCR approach is considered. It can be statistically verified that important terms in articles are printed in italic, bold and all capital style. Detection of these type styles helps in automatic extraction of the lines containing titles, authors' names, subtitles, references as well as sentences having important terms occurring in the text. It also helps in improving the OCR performance for reading the italic text. Some experimental results on the performance of the approach on good quality as well as degraded document images are presented. © 1999 IEEE.

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