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检索条件"任意字段=7th International Workshop on Graph-Based Representations in Pattern Recognition"
197 条 记 录,以下是91-100 订阅
排序:
On-line signature verification: An approach based on cluster representations of global features
On-line signature verification: An approach based on cluster...
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7th international Conference on Advances in pattern recognition, ICAPR 2009
作者: Guru, D.S. Prakash, H.N. Manjunath, S. Department of Studies in Computer Science University of Mysore Mysore 570 006 India
In this paper, we propose a new method of representation of on-line signatures by clustering of signatures. Our idea is to provide better representation by clustering of signatures based on global features. Global fea... 详细信息
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Divergence measures for time-frequency distributions
Divergence measures for time-frequency distributions
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7th international Symposium on Signal Processing and Its Applications
作者: Aviyente, S Michigan State Univ E Lansing MI 48824 USA
Distance measures between statistical models or between a model and observations are widely used concepts in signal processing. they are commonly used in solving problems such as detection, automatic segmentation, cla... 详细信息
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Generalised syntactic pattern recognition as a unifying approach in image analysis  7th
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7th Joint IAPR international workshop on Structural and Syntactic pattern recognition, SSPR 1998 and 2nd international workshop on Statistical Techniques in pattern recognition, SPR 1998
作者: Venguerov, Mark Cunningham, Pádraig POINT Information Systems Ltd. Ireland AIG Department of Computer Science Trinity College University of Dublin Ireland
In this paper we analyse theoretical foundations of syntactic pattern recognition and its relationships with mathematical linguistics, structural pattern recognition, and statistical pattern recognition. We point out ... 详细信息
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Towards unitary representations for graph matching
Towards unitary representations for graph matching
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5th IAPR international workshop on graph-based representations in pattern recognition, GbRPR 2005
作者: Emms, David Severini, Simone Wilson, Richard C. Hancock, Edwin R. Departments of Computer Science and Mathematics United Kingdom Department of Computer Science University of York York Y010 5DD United Kingdom
In this paper we explore how a spectral technique suggested by quantum walks can be used to distinguish non-isomorphic cospectral graphs. Reviewing ideas from the field of quantum computing we recall the definition of... 详细信息
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7th international workshop on representations, Analysis and recognition of Shape and Motion from Imaging Data, RFMI 2017
7th International Workshop on Representations, Analysis and ...
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7th international workshop on representations, Analysis and recognition of Shape and Motion from Imaging Data, RFMI 2017
the proceedings contain 17 papers. the special focus in this conference is on representations, Analysis and recognition of Shape and Motion from Imaging Data. the topics include: Rapid urban 3D modeling for drone-base...
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Extending morphological signatures for visual pattern recognition
Extending morphological signatures for visual pattern recogn...
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7th international workshop on pattern recognition in Information Systems PRIS 2007;In Conjunction with ICEIS 2007
作者: Lefèvre, Sébastien LSIIT CNRS University Louis Pasteur Strasbourg i Parc d'Innovation Bvd Brant 67412 Illkirch Cedex France
Morphological signatures are powerful descriptions of the image content which are based on the framework of mathematical morphology. these signatures can be computed on a global or local scale: they are called pattern... 详细信息
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Using PEGs for automatic extraction of memory access descriptions to support data-parallel pattern recognition  17
Using PEGs for automatic extraction of memory access descrip...
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8th workshop on Parallel Programming and Run-Time Management Techniques for Many-Core Architectures and 6th workshop on Design Tools and Architectures For Multicore Embedded Computing Platforms, PARMA-DITAM 2017
作者: Auras-Rodríguez, María H. Zimmermann, Anthony Ascheid, Gerd Leupers, Rainer Institute for Communication Technologies and Embedded Systems RWTH Aachen University Aachen52056 Germany
In this paper, we present a novel approach that assists in the task of data-parallel pattern recognition. the classification of program code into parallel patterns relies mainly in the extraction of characteristics th... 详细信息
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Incremental non-negative matrix factorization for dynamic background modelling
Incremental non-negative matrix factorization for dynamic ba...
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7th international workshop on pattern recognition in Information Systems PRIS 2007;In Conjunction with ICEIS 2007
作者: Bucak, Serhat S. Gunsel, Bilge Gursoy, Ozan Multimedia Signal Processing and Pattern Recognition Lab. Dept. of Electronics and Comm. Eng. Istanbul Technical University 34469 Maslak Istanbul Turkey
In this paper, an incremental algorithm which is derived from Non-negative Matrix Factorization (NMF) is proposed for background modeling in surveillance type of video sequences. the adopted algorithm, which is called... 详细信息
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Outlier detection using classifier instability  7th
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7th Joint IAPR international workshop on Structural and Syntactic pattern recognition, SSPR 1998 and 2nd international workshop on Statistical Techniques in pattern recognition, SPR 1998
作者: Tax, David M. J. Duin, Robert P. W. Pattern Recognition Group Delft University of Technology Lorentzweg 1 Delft2628 CJ Netherlands
When a classifier is used to classify objects, it is important to know if these objects resemble the training objects the classifier is trained with. Several methods to detect novel objects exist. In this paper a new ... 详细信息
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MDL-based selection of the number of components in mixture models for pattern classification  7th
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7th Joint IAPR international workshop on Structural and Syntactic pattern recognition, SSPR 1998 and 2nd international workshop on Statistical Techniques in pattern recognition, SPR 1998
作者: Tenmoto, Hiroshi Kudo, Mineichi Shimbo, Masaru Division of Systems and Information Engineering Graduate School of Engineering Hokkaido University Sapporo060-8628 Japan
A new method is proposed for selection of the optimal number of components of a mixture model for pattern classification. We approximate a class-conditional density by a mixture of Gaussian components. We estimate the... 详细信息
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