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检索条件"任意字段=5th International Workshop on Graph-Based Representations in Pattern Recognition"

共 194 条记录，以下是101-110 订阅

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Image Segmentation Using graph representations and Local Appearance and Shape Models

Image Segmentation Using Graph Representations and Local App...

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7th international workshop on graph-based representations in pattern recognition

作者： Keustermans, Johannes Seghers, Dieter Mollemans, Wouter Vandermeulen, Dirk Suetens, Paul Katholieke Univ Leuven Fac Med Med Imaging Res Ctr Radiol ESAT PSI Univ Hosp Gasthuisberg Herestr 49 B-3000 Louvain Belgium Medicim NV B-2800 Mechelen Belgium

ISBN: (纸本)9783642021237

A generic model-based segmentation algorithm is presented. based on a set of training data, consisting of images with corresponding object segmentations, a local appearance and local shape model is build. the object is described by a set of landmarks. For each landmark a local appearance model is build. this model describes the local intensity values in the image around each landmark. the local shape model is constructed by considering the landmarks to be vertices in an undirected graph. the edges represent the relations between neighboring landmarks. By implying the markovianity property on the graph, every landmark is only directly dependent upon its neighboring landmarks, leading to a local shape model. the objective function to be minimized is obtained from a maximum a-posteriori approach. To minimize this objective function, the problem is discretized by considering a finite set of possible candidates for each landmark. In this way the segmentation problem is turned into a labeling problem. Mean field annealing is used to optimize this labeling problem. the, algorithm is validated for the segmentation of teeth from cone beam computed tomography images and for automated cephalometric analysis.

关键词： Image segmentation

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Face recognition System using SVM-based Classifier

Face Recognition System using SVM-Based Classifier

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5th IEEE international workshop on Intelligent Data Acquisition and Advanced Computing Systems - Technology and Applications (IDAACS)

作者： Frolov, Igor Sadykhov, Rauf Belarusian State Univ Informat & Radioelect 6 P Brovka Str Minsk BELARUS United Inst Informat Problems Minsk BELARUS

ISBN: (纸本)9781424448814

the development of automatic visual control system is a very important research topic in computer vision. there is an complex task of development face identification system robust to the various quality of the images as light, face expression, glasses, beards, moustaches etc. We propose using the wavelet transformation algorithms for reduction the source data space. We have realized an expansion of pixels values to the whole intensity range and the equalization of histogram for the elimination of the intensity difference. the support vector machines technology has been used for the face recognition in our work.

关键词： Face identification pattern recognition support vector machines discrete wavelet transformation

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Generating visualization-based analysis scenarios from maintenance task descriptions

Generating visualization-based analysis scenarios from maint...

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IEEE international workshop on Visualizing Software for Understanding and Analysis (VISSOFT)

作者： Salima Hassaine Karim Dhambri Houari Sahraoui Pierre Poulin DIRO University of Montreal Canada

Software visualization is an efficient and flexible tool to inspect and analyze software data at various levels of detail. However, software analysts typically do not have a sufficient background in visualization and cognitive science to select efficient representations and parameters without the help of visualization experts. To overcome this problem, we propose an approach to generate software analysis tasks that use visualization. To this end, we use taxonomies of low-level analytic tasks, high-level interactive tasks, and perceptual rules to design an assistant that proposes analysis scenarios.

关键词： Data visualization Software tools Taxonomy Data analysis Independent component analysis Software maintenance Software quality Cognitive science pattern recognition Humans

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Syntax tree fingerprinting for source code similarity detection

Syntax tree fingerprinting for source code similarity detect...

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IEEE workshop on Program Comprehension

作者： Michel Chilowicz Etienne Duris Gilles Roussel Laboratoire d'Informatique de l'Institut Gaspard-Monge UMR CNRS 8049 Université Paris-Est Marne-la-Vallee France

Numerous approaches based on metrics, token sequence pattern-matching, abstract syntax tree (AST) or program dependency graph (PDG) analysis have already been proposed to highlight similarities in source code: in this paper we present a simple and scalable architecture based on AST fingerprinting. thanks to a study of several hashing strategies reducing false-positive collisions, we propose a framework that efficiently indexes AST representations in a database, that quickly detects exact (w.r.t source code abstraction) clone clusters and that easily retrieves their corresponding ASTs. Our aim is to allow further processing of neighboring exact matches in order to identify the larger approximate matches, dealing with the common modification patterns seen in the intra-project copy-pastes and in the plagiarism cases.

关键词： Fingerprint recognition Cloning Databases Plagiarism Software maintenance Scalability pattern analysis Indexes Information retrieval pattern matching

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graph-based representations in pattern recognition: 6th IAPR-TC-15 international workshop, GbRPR 2007

Graph-based Representations in Pattern Recognition: 6th IAPR...

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6th IAPR-TC-15 international workshop on graph-based representations in pattern recognition, GbRPR 2007

ISBN: (纸本)9783540729020

the proceedings contain 37 papers. the topics discussed include: bipartite graph matching for computing the edit distance of graphs;matching of tree structures for registration of medical images;graph-based methods for retinal mosaicing and vascular characterization;graph based shapes representation and recognition;a continuous-based approach for partial clique enumeration;a bound for non-subgraph isomorphism;a correspondence measure for graph matching using the discrete quantum walk;a quadratic programming approach to the graph edit distance problem;image classification using marginalized kernels for graphs;comparing sets of 3D digital shapes through topological structures;hierarchy construction schemes within the scale set framework;local reasoning in fuzzy attribute graphs for optimizing sequential segmentation;and graph-based perceptual segmentation of stereo vision 3D images at multiple abstraction levels.

关键词： pattern recognition

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Automatic Registration of Inter-band and Inter-sensor Images using Robust Complex Wavelet Feature representations

Automatic Registration of Inter-band and Inter-sensor Images...

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5th IAPR workshop on pattern recognition in Remote Sensing

作者： Wong, Alexander Clausi, David Univ Waterloo Waterloo ON N2L 3G1 Canada

ISBN: (纸本)9781424426539

A robust method for registering inter-band and inter-sensor remote sensing images has been designed and implemented. the proposed method introduces noise-resilient and contrast invariant control point detection and control point matching schemes based on robust complex wavelet feature representations. Furthermore, an iterative refinement scheme is introduced for achieving improved control point pair localization and mapping function estimation between the images being registered. the registration accuracy of the proposed method was demonstrated on the registration of multi-spectral optical and synthetic aperture radar (SAR) images. the proposed method achieves better registration accuracy when compared with the state-of-the-art MSSD and ARRSI registration algorithms.

关键词： Image enhancement

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the RWth Machine Translation System for IWSLT 2008 5

The RWTH Machine Translation System for IWSLT 2008

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5th international workshop on Spoken Language Translation, IWSLT 2008

作者： Vilar, David Stein, Daniel Zhang, Yuqi Matusov, Evgeny Mauser, Arne Bender, Oliver Mansour, Saab Ney, Hermann Human Language Technology and Pattern Recognition Lehrstuhl für Informatik 6 Computer Science Department RWTH Aachen University AachenD-52056 Germany

RWth's system for the 2008 IWSLT evaluation consists of a combination of different phrase-based and hierarchical statistical machine translation systems. We participated in the translation tasks for the Chinese-to-English and Arabic-to-English language pairs. We investigated different preprocessing techniques, reordering methods for the phrase-based system, including reordering of speech lattices, and syntax-based enhancements for the hierarchical systems. We also tried the combination of the Arabic-to-English and Chinese-to-English outputs as an additional submission. © 2008 international workshop on Spoken Language Translation, IWSLT 2008. All rights reserved.

关键词： Hierarchical systems

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Improvements in Dynamic Programming Beam Search for Phrase-based Statistical Machine Translation 5

Improvements in Dynamic Programming Beam Search for Phrase-b...

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5th international workshop on Spoken Language Translation, IWSLT 2008

作者： Zens, Richard Ney, Hermann Human Language Technology and Pattern Recognition Lehrstuhl für Informatik 6 Computer Science Department RWTH Aachen University AachenD-52056 Germany Google Inc. 1600 Am-phitheatre Parkway Mountain ViewCA94043 United States

Search is a central component of any statistical machine translation system. We describe the search for phrase-based SMT in detail and show its importance for achieving good translation quality. We introduce an explicit distinction between reordering and lexical hypotheses and organize the pruning accordingly. We show that for the large Chinese-English NIST task already a small number of lexical alternatives is sufficient, whereas a large number of reordering hypotheses is required to achieve good translation quality. the resulting system compares favorably with the current state-of-the-art, in particular we perform a comparison with cube pruning as well as with Moses. © 2008 international workshop on Spoken Language Translation, IWSLT 2008. All rights reserved.

关键词： Dynamic programming

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Structural, Syntactic, and Statistical pattern recognition 2008

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丛书名： Lecture Notes in Computer Science

2008年

作者： Niels da Vitoria Lobo Takis Kasparis Michael Georgiopoulos Fabio Roli James Kwok Georgios C. Anagnostopoulos Marco Loog

ISBN: (数字)9783540896890

ISBN: (纸本)9783540896883

this book constitutes the refereed proceedings of the 12th international workshop on Structural and Syntactic pattern recognition, SSPR 2008 and the 7th international workshop on Statistical Techniques in pattern recognition, SPR 2008, held jointly in Orlando, FL, USA, in December 2008 as a satellite event of the 19th international Conference of pattern recognition, ICPR 2008. the 56 revised full papers and 42 revised poster papers presented together with the abstracts of 4 invited papers were carefully reviewed and selected from 175 submissions. the papers are organized in topical sections on graph-based methods, probabilistic and stochastic structural models for PR, image and video analysis, shape analysis, kernel methods, recognition and classification, applications, ensemble methods, feature selection, density estimation and clustering, computer vision and biometrics, pattern recognition and applications, pattern recognition, as well as feature selection and clustering.

关键词： pattern recognition systems Congresses.

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graph embedding in vector spaces by means of prototype selection

Graph embedding in vector spaces by means of prototype selec...

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6th international workshop on graph-based representations in pattern recognition

作者： Riesen, Kaspar Neuhaus, Michel Bunke, Horst Univ Bern Dept Comp Sci Neubruckstr 10 CH-3012 Bern Switzerland

ISBN: (纸本)9783540729020

the field of statistical pattern recognition is characterized by the use of feature vectors for pattern representation, while strings or, more generally, graphs are prevailing in structural pattern recognition. In this paper we aim at bridging the gap between the domain of feature based and graph based object representation. We propose a general approach for transforming graphs into n-dimensional real vector spaces by means of prototype selection and graph edit distance computation. this method establishes the access to the wide range of procedures based on feature vectors without loosing the representational power of graphs. through various experimental results we show that the proposed method, using graph embedding and classification in a vector space, outperforms the tradional approach based on k-nearest neighbor classification in the graph domain.

关键词： pattern recognition

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