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International Conference on Document analysis and Recognition

作者： Shujing Lu Xiaohua Wei Yue Lu ECNU-SRI Joint Lab for Pattern Analysis and Intelligent System Shanghai Research Institute of China Post Shanghai China Processing Department of Computer Science and Technology East China Normal University Shanghai China

ISBN: (纸本)9781479918065

To overcome the class imbalance problem in Chinese address recognition, we propose a cost-sensitive learning method for MQDF classifier. In the learning process, a cost vector is introduced to the discriminative learning process of MQDF, and minimization of misclassification cost is used as the convergence criteria. A cost-sensitive MQDF classifier (CMQDF) is then obtained, and it is integrated into a handwritten Chinese address recognition (HCAR) system to validate its effectiveness. The experimental results show that CMQDF is an effective cost-sensitive classifier for the class imbalance problem in HCAR system. Moreover, it enhances the reliability of the HCAR system.

关键词： Optical sensors Internet

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Using multiple sequence alignment and statistical language model to integrate multiple Chinese address recognition outputs

Using multiple sequence alignment and statistical language m...

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International Conference on Document analysis and Recognition

作者： Shengchang Chen Shujing Lu Ying Wen Yue Lu Department of Computer Science and Technology East China Normal University Shanghai China ECNU-SRI Joint Lab for Pattern Analysis and Intelligent System Shanghai Research Institute of China Post Group Shanghai China

ISBN: (纸本)9781479918065

Different recognizers may result in different mistakes when they are used to recognize a Chinese address. In this paper, we present a method of combining multiple Chinese address recognition outputs to improve Chinese address recognition accuracy. The method first employs multiple sequence alignment to generate a lattice of candidate hypotheses from multiple different recognizer outputs and then applies statistical language model to choose the maximum likelihood candidate sequence. Taking the maximum as the final decision, the performance of our method is superior, compared to the single recognizers and Miyao's method. The experiments on the address images of real envelopes demonstrate that the proposed method increases the character recognition accuracy rate from 95.80% to 98.38%, with 61.30% error reduction. Furthermore, the corrected sorting rate of an automatic mail sorting system increases from 84.11% to 93.72%.

关键词： Image segmentation Training Optical character recognition software

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A concept of the editing for spreadsheets based on octgrids and SQL 27

A concept of the editing for spreadsheets based on octgrids ...

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27th International Conference on computer Applications in Industry and Engineering, CAINE 2014

作者： Anzai, Koushi Anada, Koichi Miyadera, Youzou Yaku, Takeo Yokota, Ken Department Economics Kanto Gakuen University Gunma Japan Advanced Research Institute for Science and Engineering Waseda University Tokyo Japan Department of Mathematics and Information Science Tokyo Gakugei University Tokyo Japan Department Computer Science and System Analysis Nihon University Tokyo Japan Nihon University Tokyo Japan

ISBN: (纸本)9781880843970

Takeo Yaku et al proposed octal degree heterogeneous grid graphs, called octgrids[4, 6], that represent heterogeneous rectangular dissections such as spreadsheet. Meanwhile, because octgrid is very complex, it would be difficult to create octgrid application systems if you manipulate the octgrid directly. Therefore, we represent octgrid by an XML notation, and represent the octgrid on an SQL database system by storing each node of octgrid in SQL table. It will be easier to manipulate the octgrid because you can manipulate it by SQL commands. In this paper, we deal with editing for spreadsheet based on octgrids and SQL database system. Copyright ISCA, CAINE 2014.

关键词： XML

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Application of PR techniques to mail sorting in China

Application of PR techniques to mail sorting in China

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2014 7th International C Conference on computer science and Software Engineering, C3S2E 2014

作者： Liu, Li Lu, Shujing Lu, Yue Suen, Ching Y. Department of Computer Science and Technology East China Normal University Shanghai 200241 China ECNU-SRI Joint Lab. for Pattern Analysis and Intelligent System Shanghai Research Institute of China Post Group Shanghai 200062 China Centre for Pattern Recognition and Machine Intelligence Concordia University Montreal QC H3G 1M8 Canada

ISBN: (纸本)9781450327121

Mail sorting machines play an important role in postal automation. In this paper, we give a brief overview of mail sorting machines in China Post from a pattern recognition point of view. OCR techniques such as postcode recognition and address recognition are essential for mail sorting machines, which are considered as class imbalance problems in our study. In addition to OCR that mainly focuses on the characters in the image, some image-level features are exploited for near-duplicate envelope image matching, which is helpful in tracking pieces of mail in the network environment. © 2014 ACM.

关键词： Image matching

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Cost-Sensitive Transformation for Chinese Address Recognition

Cost-Sensitive Transformation for Chinese Address Recognitio...

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International Conference on Pattern Recognition

作者： Shujing Lu Xiaohua Wei Yue Lu ECNU-SRI Joint Lab for Pattern Analysis and Intelligent System Shanghai Research Institute of China Post Shanghai China Department of Computer Science and Technolozy East China Normal University Shanghai China

ISBN: (纸本)9781479952106

This paper proposes a cost-sensitive transformation for improving handwritten address recognition performance by converting a general-purpose handwritten Chinese character recognition engine to a special-purpose one. The class probabilities produced by character recognition engine for predicting a sample to candidate classes are transformed to the expected costs based on Naive Bayes optimal theoretical predictions firstly. And then candidate probabilities are reestimated based on the expected costs. Two general-purpose offline handwritten Chinese character recognition engines, PAIS and HAW, are tested in our experiments by applying them in handwritten Chinese address recognition system. 1822 live handwritten Chinese address images are tested with multiple cost matrices. Experimental results show that cost-sensitive transformation improves the recognition performance of general purpose recognition engines on handwritten Chinese address recognition.

关键词： Character recognition Engines Image recognition Image segmentation Handwriting recognition Lattices

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Binarization of degraded document image using Gaussian Markov random field model

Binarization of degraded document image using Gaussian Marko...

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International Conference on Audio, Language and Image Processing, ICALIP

作者： Shujing Lu Yue Lu ECNU-SRI Joint Lab for Pattern Analysis and Intelligence System Shanghai Research Institute of China Post Group Shanghai China Department of Computer Science and Technology East China Normal University Shanghai China

ISBN: (纸本)9781479939046

This paper presents a binarization approach to degraded document images, which is based on Gaussian Markov Random Field (GMRF) model. The energy function with the single-site and pair-site clique potential functions is formulated for the GMRF. The parameters of the potential functions are estimated by expectation-maximization (EM) algorithm, without necessity of training process. Experiments on different types of degraded document images with various noise, contrast variation or uneven illumination, have demonstrated the validity of the proposed method.

关键词： Markov random fields Computational modeling Mathematical model Probability density function Convergence Pattern recognition Analytical models

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Novel Global and Local Features for Near-Duplicate Document Image Matching

Novel Global and Local Features for Near-Duplicate Document ...

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International Conference on Pattern Recognition

作者： Li Liu Yue Lu Ching Y. Suen Centre for Pattern Recognition and Machine Intelligence Concordia University Montreal Canada Department of Computer Science and Technology East China Normal University Shanghai China Joint Lab for Pattern Analysis and Intelligent System Shanghai Research Institute of China Post Shanghai

ISBN: (纸本)9781479952106

A new near-duplicate document image matching approach is proposed. Globally, we model the spatial arrangements of objects in an image. Locally, the micro-patterns within each object are captured. To define a micro-pattern, the N-nary center-symmetric gray value differences in an image local neighborhood of a variable radius are exploited. A visual descriptor is proposed to characterize the appearance of the object based on micro-pattern distributions. By combining the global and local features, each document image is represented by a compact signature with a variable length. We employ Earth Mover's Distance for image dissimilarity computation, which stands out for its remarkable ability to tolerate the instability of object segmentation by allowing many-to-many correspondence among objects. Extensive experiments on two data sets demonstrate the effectiveness of the proposed approach.

关键词： Image matching Histograms Mercury (metals) Earth Object segmentation Sorting Databases

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Human genome meeting 2016 : Houston, TX, USA. 28 February - 2 March 2016

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Human genomics 2016年第1期10 Suppl 1卷 12页

作者： A. K. Srivastava Y. Wang R. Huang C. Skinner T. Thompson L. Pollard T. Wood F. Luo R. Stevenson R. Polimanti J. Gelernter X. Lin I. Y. Lim Y. Wu A. L. Teh L. Chen I. M. Aris S. E. Soh M. T. Tint J. L. MacIsaac F. Yap K. Kwek S. M. Saw M. S. Kobor M. J. Meaney K. M. Godfrey Y. S. Chong J. D. Holbrook Y. S. Lee P. D. Gluckman N. Karnani A. Kapoor D. Lee A. Chakravarti C. Maercker F. Graf M. Boutros G. Stamoulis F. Santoni P. Makrythanasis A. Letourneau M. Guipponi N. Panousis M. Garieri P. Ribaux E. Falconnet C. Borel S. E. Antonarakis S. Kumar J. Curran J. Blangero S. Chatterjee J. Akiyama D. Auer C. Berrios L. Pennacchio T. R. Donti G. Cappuccio M. Miller P. Atwal A. Kennedy A. Cardon C. Bacino L. Emrick J. Hertecant F. Baumer B. Porter M. Bainbridge P. Bonnen B. Graham R. Sutton Q. Sun S. Elsea Z. Hu P. Wang Y. Zhu J. Zhao M. Xiong David A. Bennett A. Hidalgo-Miranda S. Romero-Cordoba S. Rodriguez-Cuevas R. Rebollar-Vega E. Tagliabue M. Iorio E. D’Ippolito S. Baroni B. Kaczkowski Y. Tanaka H. Kawaji A. Sandelin R. Andersson M. Itoh T. Lassmann Y. Hayashizaki P. Carninci A. R. R. Forrest C. A. Semple E. A. Rosenthal B. Shirts L. Amendola C. Gallego M. Horike-Pyne A. Burt P. Robertson P. Beyers C. Nefcy D. Veenstra F. Hisama R. Bennett M. Dorschner D. Nickerson J. Smith K. Patterson D. Crosslin R. Nassir N. Zubair T. Harrison U. Peters G. Jarvik F. Menghi K. Inaki X. Woo P. Kumar K. Grzeda A. Malhotra H. Kim D. Ucar P. Shreckengast K. Karuturi J. Keck J. Chuang E. T. Liu B. Ji A. Tyler G. Ananda G. Carter H. Nikbakht M. Montagne M. Zeinieh A. Harutyunyan M. Mcconechy N. Jabado P. Lavigne J. Majewski J. B. Goldstein M. Overman G. Varadhachary R. Shroff R. Wolff M. Javle A. Futreal D. Fogelman L. Bravo W. Fajardo H. Gomez C. Castaneda C. Rolfo J. A. Pinto K. C. Akdemir L. Chin S. Patterson C. Statz S. Mockus S. N. Nikolaev X. I. Bonilla L. Parmentier B. King F. Bezrukov G. Kaya V. Zoete V. Seplyarskiy H. Sharpe T. McKee K. Popadin N. Basset-Seguin R. Ben Chaabene M. Andrianova C. Verdan K. Grosdemange O. Sumara M. E JCSRI Greenwood Genetic Center Greenwood USA School of Computing Clemson University Clemson USA Biochemical Genetics Laboratory Greenwood Genetic Center Greenwood USA Department Psychiatry Yale Sch Med and VA CT Healthcare Center West Haven USA Department Genetics Yale Sch Med and VA CT Healthcare Center West Haven USA Department Neurobiology Yale Sch Med and VA CT Healthcare Center West Haven USA Singapore Institute for Clinical Sciences Singapore Singapore National University of Singapore Singapore Singapore University of British Columbia Vancouver Canada KK Women’s and Children’s Hospital Singapore Singapore University of Southampton and University Hospital Southampton NHS Foundation Trust Southampton UK University of Auckland Auckland New Zealand McKusick-Nathans Institute of Genetic Medicine Johns Hopkins University School of Medicine Baltimore USA Esslingen University of Applied Sciences Esslingen Germany German Cancer Research Center Heidelberg Germany Department of Genetic Medicine and Development University of Geneva Medical School Geneva Switzerland Geneva University Hospitals-HUG Service of Genetic Medicine Geneva Switzerland GE3 Institute of Genetics and Genomics of Geneva University of Geneva Medical School Geneva Switzerland South Texas Diabetes and Obesity Institute School of Medicine University of Texas Rio-Grande Valley Edinburg USA South Texas Diabetes and Obesity Institute School of Medicine University of Texas Rio-Grande Valley Brownsville USA Institute of Genetic Medicine Johns Hopkins University Baltimore USA Genomics Division Lawrence Berkeley National Laboratory Berkeley USA Molecular and Human Genetics Baylor College of Medicine Houston USA Department of Translational Medical Sciences Federico II University Naples Italy Metabolon Inc Durham USA Section of Pediatric Neurology and Neuroscience Baylor College of Medicine Houston USA Tawam Hospital Abu Dhabi United Arab Emirates Stanford Medical School Stanford USA Sch

O1 The metabolomics approach to autism: identification of biomarkers for early detection of autism spectrum disorder A. K. Srivastava, Y. Wang, R. Huang, C. Skinner, T. Thompson, L. Pollard, T. Wood, F. Luo, R. Stevenson O2 Phenome-wide association study for smoking- and drinking-associated genes in 26,394 American women with African, Asian, European, and Hispanic descents R. Polimanti, J. Gelernter O3 Effects of prenatal environment, genotype and DNA methylation on birth weight and subsequent postnatal outcomes: findings from GUSTO, an Asian birth cohort X. Lin, I. Y. Lim, Y. Wu, A. L. Teh, L. Chen, I. M. Aris, S. E. Soh, M. T. Tint, J. L. MacIsaac, F. Yap, K. Kwek, S. M. Saw, M. S. Kobor, M. J. Meaney, K. M. Godfrey, Y. S. Chong, J. D. Holbrook, Y. S. Lee, P. D. Gluckman, N. Karnani, GUSTO study group O4 High-throughput identification of specific qt interval modulating enhancers at the SCN5A locus A. Kapoor, D. Lee, A. Chakravarti O5 Identification of extracellular matrix components inducing cancer cell migration in the supernatant of cultivated mesenchymal stem cells C. Maercker, F. Graf, M. Boutros O6 Single cell allele specific expression (ASE) IN T21 and common trisomies: a novel approach to understand DOWN syndrome and other aneuploidies G. Stamoulis, F. Santoni, P. Makrythanasis, A. Letourneau, M. Guipponi, N. Panousis, M. Garieri, P. Ribaux, E. Falconnet, C. Borel, S. E. Antonarakis O7 Role of microRNA in LCL to IPSC reprogramming S. Kumar, J. Curran, J. Blangero O8 Multiple enhancer variants disrupt gene regulatory network in Hirschsprung disease S. Chatterjee, A. Kapoor, J. Akiyama, D. Auer, C. Berrios, L. Pennacchio, A. Chakravarti O9 Metabolomic profiling for the diagnosis of neurometabolic disorders T. R. Donti, G. Cappuccio, M. Miller, P. Atwal, A. Kennedy, A. Cardon, C. Bacino, L. Emrick, J. Hertecant, F. Baumer, B. Porter, M. Bainbridge, P. Bonnen, B. Graham, R. Sutton, Q. Sun, S. Elsea O10 A novel causal methylation network approach to Alzheimer’s

关键词： Pulmonary Arterial Hypertension Oral Squamous Cell Carcinoma Deep Neural Network Autosomal Recessive Polycystic Kidney Disease Whole Genome Bisulfite Sequencing

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The Number of Cells in Regions Shifted on 2D Images Represented by Raster Data with Heterogeneous Parts

The Number of Cells in Regions Shifted on 2D Images Represen...

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ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD)

作者： Koichi Anada Shinji Koka Akihito Kubota Yuki Shindo Takeo Yaku Waseda Research Institute for Science and Engineering Waseda University Tokyo Japan Department Computer Science and System Analysis Nihon University Tokyo Japan

ISBN: (纸本)9781479903719

We deal with the "octgrid" model which is a data structure for raster data such as 2D images, spread sheets and so forth. The "octgrid" model is an octal degree grid graph model and is able to handle various raster data with heterogeneous parts. In this paper, we consider change ratio of the number of cells when regions are shifted in a 2D image represented by raster data with heterogeneous parts. We propose two algorithms for translation of regions in 2D images represented by the "octgrid" model to compare change rates of the number of cells with ones by quad tree. And then, we describe that our algorithms by the "octgrid" model keep the number of cells by some examples when some regions are shifted in an image.

关键词： Computational modeling Data models Educational institutions Data structures computer science Image processing Algorithm design and analysis

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Reduction of resolution for binary images by an octal grid graph representation model

Reduction of resolution for binary images by an octal grid g...

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International Conference on computer and Information science (ACIS)

作者： Yuki Shindo Taiyou Kikuchi Koichi Anada Shinji Koka Takeo Yaku Department Computer Science and System Analysis Nihon University Tokyo Japan Waseda Research Institute for Science and Engineering Waseda University Tokyo Japan

We deal with a data structure which is suitable for expression of the binary images. In general, binary images are expressed in raster data or rectangular dissections. In this paper, we describe that it is possible to reduce effectively the number of nodes in raster data represented by “octgrid” which is a type of octal grid graphs to handle heterogeneous rectangular dissections. Precisely, we propose algorithms to reduce the resolution of binary images represented by “octgrid”. Furthermore, we compare by examples our method with the Hilbert scanning, and show that our method reduces the rectangular number by less than 50% than the Hilbert scanning does, in several examples.

关键词： Image resolution Data structures Three-dimensional displays Educational institutions computer science Image color analysis Image coding

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