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检索条件"任意字段=6th International Workshop on Graph-Based Representations in Pattern Recognition"

共 215 条记录，以下是101-110 订阅

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A subpath kernel for learning hierarchical image representations 10

A subpath kernel for learning hierarchical image representat...

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10th IAPR-TC-15 international workshop on graph-based representations in pattern recognition, GbRPR 2015

作者： Cui, Yanwei Chapel, Laetitia Lefèvre, Sébastien University Bretagne-Sud Vannes56000 France

ISBN: (纸本)9783319182230

Tree kernels have demonstrated their ability to deal with hierarchical data, as the intrinsic tree structure often plays a discriminative role. While such kernels have been successfully applied to various domains such as nature language processing and bioinformatics, they mostly concentrate on ordered trees and whose nodes are described by symbolic data. Meanwhile, hierarchical representations have gained increasing interest to describe image content. this is particularly true in remote sensing, where such representations allow for revealing different objects of interest at various scales through a tree structure. However, the induced trees are unordered and the nodes are equipped with numerical features. In this paper, we propose a new structured kernel for hierarchical image representations which is built on the concept of subpath kernel. Experimental results on both artificial and remote sensing datasets show that the proposed kernel manages to deal with the hierarchical nature of the data, leading to better classification rates. © Springer international Publishing Switzerland 2015.

关键词： Image classification

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Synergism of spectral and coupling modalities in epileptic focus localization from iEEG recordings 6

Synergism of spectral and coupling modalities in epileptic f...

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6th international workshop on pattern recognition in Neuroimaging, PRNI 2016

作者： Nánási, Tibor File, Bálint Tóth, Emília Entz, László Ulbert, István Fabó, Dániel ErÅ'Ss, Lóránd Insitute of Cognitive Neuroscience and Psychology Research Centre for Natural Sciences Hungarian Academy of Sciences Budapest Hungary Faculty of Information Technology and Bionics Pázmány Péter Catholic University Budapest Hungary Department of Functional Neurosurgery Center of Neuromodulation National Institute of Clinical Neurosciences Budapest Hungary Epilepsy Centrum Deptartment of Neurology National Institute of Clinical Neurosciences Budapest Hungary

ISBN: (纸本)9781467365307

determining the epileptogenic zone (EZ) from intracranial electroencephalography (iEEG) recordings is an important but nontrivial task. In this pilot study we demonstrate the usefulness of phasesynchronized phase-amplitude coupling constellations as a hybrid construct from well-established phase-amplitude and phase-phase coupling measurements. Also, we introduce a heuristic measure related to spectral entropy which can further improve the specificity of EZ detection. Our analysis works on seizure-free sleep iEEG grid data abundant in a typical clinical setting and aside from the initial frequency band definitions operates in a thresholdfree data-driven manner. © 2016 IEEE.

关键词： graph theory

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Region-based pattern generation scheme for DMD based maskless lithography

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6th international workshop on graphic recognition

作者： Seo, Manseung Song, Jaesung An, Changgeun Tongmyong Univ Pusan 608711 South Korea LG Elect Gyunggido 451713 South Korea

ISBN: (纸本)3540347119

We focus our attention on complex lithographic pattern generation on a huge substrate with no manipulation of the light source shape for Digital Micromirror Device (DMD) based maskless lithography. To overcome the limitations of existing pattern generation methods developed upon the assessment of lithographic paths of the reflected beam spots rather than the recognition of patterns, we place our primary concern on the pattern. We consider pattern generation for maskless lithography using the DMD as a graphic recognition field problem. the pattern generation process is conceptualized as dual pattern recognition in two contrary views, which are the substrate's view and the DMD's view. For pattern recognition in the DMD's view, a unique criterion, the area ratio, is devised for approval of the on/off reflection of the DMD mirror. the Region-based pattern Generation (RPG) scheme based upon the area ratio is proposed. For verification, a prototype RPG system is implemented, and lithography using the system is performed to fabricate an actual Flat Panel Display (FPD) glass. the results verify that the RPG scheme is robust enough to generate lithographic patterns in any possible lithographic configuration and the RPG system is precise enough to attain the lithographic quality required by the FPD manufacturer.

关键词： Lithography

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Report on the first contest on graph matching algorithms for pattern search in biological databases 10

Report on the first contest on graph matching algorithms for...

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10th IAPR-TC-15 international workshop on graph-based representations in pattern recognition, GbRPR 2015

作者： Carletti, Vincenzo Foggia, Pasquale Vento, Mario Jiang, Xiaoyi Department of Information Engineering Electrical Engineering and Applied Mathematics University of Salerno Fisciano Italy Department of Computer Science University of Münster Münster Germany

ISBN: (纸本)9783319182230

graphs are a powerful data structure that can be applied to several problems in bioinformatics, and efficient graph matching is often a tool required for several applications that try to extract useful information from large databases of graphs. While graph matching is in general a NP-complete problem, several algorithms exist that can be fast enough on practical graphs. However, there is no single algorithm that is able to outperform the others on every kind of graphs, and so it is of paramount importance to assess the algorithms on graphs coming from the actual problem domain. To this aim, we have organized the first edition of the Contest on graph Matching Algorithms for pattern Search in Biological Databases, hosted by the ICPR2014 Conference, so as to provide an opportunity for comparing state-of-the-art matching algorithms on a new graph database built using several kinds of real-world graphs found in bioinformatics applications. the participating algorithms were evaluated with respect to both their computation time and their memory usage. this paper will describe the contest task and databases, will provide a brief outline of the participating algorithms, and will present the results of the contest. © Springer international Publishing Switzerland 2015.

关键词： Bioinformatics

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Distributed representations of Emotion Categories in Emotion Space 59

Distributed Representations of Emotion Categories in Emotion...

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Joint Conference of 59th Annual Meeting of the Association-for-Computational-Linguistics (ACL) / 11th international Joint Conference on Natural Language Processing (IJCNLP) / 6th workshop on Representation Learning for NLP (RepL4NLP)

作者： Wane, Xiangyu Zong, Chengqing Chinese Acad Sci Natl Lab Pattern Recognit Inst Automat Beijing Peoples R China Univ Chinese Acad Sci Sch Artificial Intelligence Beijing Peoples R China CAS Ctr Excellence Brain Sci & Intelligence Techn Beijing Peoples R China

ISBN: (纸本)9781954085527

Emotion category is usually divided into different ones by human beings, but it is indeed difficult to clearly distinguish and define the boundaries between different emotion categories. the existing studies working on emotion detection usually focus on how to improve the performance of model prediction, in which emotions are represented with one-hot vectors. However, emotion relations are ignored in one-hot representations. In this article, we first propose a general framework to learn the distributed representations for emotion categories in emotion space from a given emotion classification dataset. Furthermore, based on the soft labels predicted by the pre-trained neural network model, we derive a simple and effective algorithm. Experiments have validated that the proposed representations in emotion space can express emotion relations much better than word vectors in semantic space.

关键词： Neural network models

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6th international workshop on theory and Application of graph Tranformations, TAGT 1998

6th International Workshop on Theory and Application of Grap...

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6th international workshop on theory and Applications of graph Tranformations, TAGT 1998

ISBN: (纸本)3540672036

the proceedings contain 33 papers. the special focus in this conference is on graph Languages, graph theory;Categorical Approaches, Concurrency and Distribution. the topics include: Some remarks on the generative power of collage grammars and chain-code grammars;tree languages generated by context-free graph grammars;neighborhood-preserving node replacements;the power of local computations in graphs with initial knowledge;double-pushout approach with injective matching;pushout complements for arbitrary partial algebras;local views on distributed systems and their communication;dynamic change management by distributed graph transformation;redundancy and subsumption in high-level replacement systems;utilizing constraint satisfaction techniques for efficient graph pattern matching;hypergraphs as a uniform diagram representation model;a new graph rewrite language based on the unified modeling language and java;more about control conditions for transformation units;a framework for adding packages to graph transformation approaches;UML packages for programmed graph rewriting systems;incremental development of safety properties in Petri net transformations;graph-based models for managing development processes, resources, and products and deriving software performance models from architectural patterns by graph transformations.

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Comparing string representations and distances in a natural images classification task

Comparing string representations and distances in a natural ...

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5th IAPR international workshop on graph-based representations in pattern recognition, GbRPR 2005

作者： Ros, Julien Laurent, Christophe Jolion, Jean-Michel Simand, Isabelle France Telecom R and D TECH IRIS 4 rue du Clos Courtel 35512 Cesson Sevigne Cedex France LIRIS PRE CNRS 3672 INSA INSA Lyon 9621 Villeurbanne cedex France

this paper shows how strings can be used in a natural images classification task. We propose to build an attributed string from a set of regions of interest detected thanks to an interest point detector. these salient zones are characterized by local signatures describing singularities and they are linked by using graph seriation algorithms and perceptual methods. Once each image is represented by a string of signatures, we propose to use string-based edit distances and an ordered histograms-based distance in order to perform the classification task. Experiments have shown that whereas seriation algorithms give approximately the same results, the ordered histogram based distance is more efficient for the considered application. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Image analysis

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Facial expression recognition using thermal image processing and neural network

Facial expression recognition using thermal image processing...

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6th IEEE international workshop on Robot and Human Communication (RO-MAN 97)

作者： Yoshitomi, Y Miyawaki, N Tomita, S Kimura, S Miyazaki Univ Fac Engn Dept Comp Sci & Syst Engn Miyazaki 88921 Japan

ISBN: (纸本)0780340760

A method with thermal Image Processing and Neural Network is presented for recognition official expression. the method Is based on 2-dimensional detection of temperature distribution of face, using Infrared Rays. the front-view face in input image is normalized in terms of the size and the location, followed by measuring the local temperature-difference between the averaged neutral and the unknown expression faces. For measuring the local temperature-difference, several blocks on face are decided, based on the studies in the fields of psychology, especially FACS-AU, and computer vision with visible ray, while the blocks including cheekbone region are decided experimentally for improving the recognition accuracy. the local temperature-difference caused by the rearrangement of face muscle and the inner temperature change is used as input data for Neural Network. By using Back Propagation method, neutral, happy, surprise and sad expressions were recognized with 90% accuracy.

关键词： pattern recognition

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A competitivewinner-takes-all architecture for classification and pattern recognition of structures

A competitivewinner-takes-all architecture for classificatio...

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4th IAPR international workshop on graph based representations in pattern recognition, GbRPR 2003

作者： Jain, Brijnesh J. Wysotzki, Fritz Dept. of Electrical Engineering and Computer Science Technical University Berlin Germany

ISBN: (纸本)354040452X

We propose a winner-takes-all (WTA) classifier for structures represented by graphs. WTA classification follows the principle elimination of competition. the input structure is assigned to the class corresponding to the winner of the competition. In experiments we investigate the performance of the WTA classifier and compare it with the canonical maximum similarity (MS) classifier. © Springer-Verlag Berlin Heidelberg 2003.

关键词： pattern recognition

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Image and Signal Processing 1

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丛书名： Lecture Notes in Computer Science

1000年

作者： Abderrahim Elmoataz Olivier Lezoray Fathallah Nouboud Driss Mammass

ISBN: (数字)9783319079981

ISBN: (纸本)9783319079974

this book constitutes the refereed proceedings of the 6th international Conference, ICISP 2014, held in June/July 2014 in Cherbourg, France. the 76 revised full papers were carefully reviewed and selected from 164 submissions. the contributions are organized in topical sections on multispectral colour science, color imaging and applications, digital cultural heritage, document image analysis, graph-based representations, image filtering and representation, computer vision and pattern recognition, computer graphics, biomedical, and signal processing.

关键词： Image Processing and Computer Vision pattern recognition Artificial Intelligence Biometrics Special Purpose and Application-based Systems Algorithm Analysis and Problem Complexity

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