Lecture Notes in Computer Science - Structural, Syntactic, and Statistical Pattern Recognition
Latest Publications

TOTAL DOCUMENTS

127

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Published By Springer Berlin Heidelberg

9783540225706, 9783540278689

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Eigenspace Method by Autoassociative Networks for Object Recognition

Lecture Notes in Computer Science - Structural, Syntactic, and Statistical Pattern Recognition ◽

10.1007/978-3-540-27868-9_9 ◽

2004 ◽

pp. 95-103

Author(s):

Takamasa Yokoi ◽

Wataru Ohyama ◽

Tetsushi Wakabayashi ◽

Fumitaka Kimura

Keyword(s):

Object Recognition

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A Shallow Description Framework for Musical Style Recognition

Lecture Notes in Computer Science - Structural, Syntactic, and Statistical Pattern Recognition ◽

10.1007/978-3-540-27868-9_96 ◽

2004 ◽

pp. 876-884 ◽

Cited By ~ 3

Author(s):

Pedro J. Ponce de León ◽

Carlos Pérez-Sancho ◽

José M. Iñesta

Keyword(s):

Musical Style ◽

Description Framework

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License Vehicle Plates Localization Using Maximum Correlation

Lecture Notes in Computer Science - Structural, Syntactic, and Statistical Pattern Recognition ◽

10.1007/978-3-540-27868-9_50 ◽

2004 ◽

pp. 470-476

Author(s):

Regis C. P. Marques ◽

Fátima N. S. Medeiros ◽

Jilseph Lopes Silva ◽

Cassius M. Laprano

Keyword(s):

Maximum Correlation

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Segmentation Graph Hierarchies

Lecture Notes in Computer Science - Structural, Syntactic, and Statistical Pattern Recognition ◽

10.1007/978-3-540-27868-9_36 ◽

2004 ◽

pp. 343-351 ◽

Cited By ~ 29

Author(s):

Yll Haxhimusa ◽

Walter Kropatsch

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Comparison of Two Fast Nearest-Neighbour Search Methods in High-Dimensional Large-Sized Databases

Lecture Notes in Computer Science - Structural, Syntactic, and Statistical Pattern Recognition ◽

10.1007/978-3-540-27868-9_95 ◽

2004 ◽

pp. 868-875

Author(s):

Javier Cano ◽

Juan-Carlos Pérez-Cortés ◽

Ismael Salvador

Keyword(s):

High Dimensional ◽

Nearest Neighbour ◽

Search Methods

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Recognition of Handwritten Numerals Using a Combined Classifier with Hybrid Features

Lecture Notes in Computer Science - Structural, Syntactic, and Statistical Pattern Recognition ◽

10.1007/978-3-540-27868-9_109 ◽

2004 ◽

pp. 992-1000 ◽

Cited By ~ 2

Author(s):

Kyoung Min Kim ◽

Joong Jo Park ◽

Young Gi Song ◽

In Cheol Kim ◽

Ching Y. Suen

Keyword(s):

Hybrid Features ◽

Combined Classifier

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Finding Clusters and Components by Unsupervised Learning

Lecture Notes in Computer Science - Structural, Syntactic, and Statistical Pattern Recognition ◽

10.1007/978-3-540-27868-9_1 ◽

2004 ◽

pp. 1-15

Author(s):

Erkki Oja

Keyword(s):

Unsupervised Learning

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A Syntactic Pattern Recognition Approach to Computer Assisted Translation

Lecture Notes in Computer Science - Structural, Syntactic, and Statistical Pattern Recognition ◽

10.1007/978-3-540-27868-9_21 ◽

2004 ◽

pp. 207-215 ◽

Cited By ~ 12

Author(s):

Jorge Civera ◽

Juan M. Vilar ◽

Elsa Cubel ◽

Antonio L. Lagarda ◽

Sergio Barrachina ◽

...

Keyword(s):

Pattern Recognition ◽

Computer Assisted ◽

Syntactic Pattern Recognition ◽

Syntactic Pattern ◽

Pattern Recognition Approach

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Preclustering of Electrocardiographic Signals Using Left-to-Right Hidden Markov Models

Lecture Notes in Computer Science - Structural, Syntactic, and Statistical Pattern Recognition ◽

10.1007/978-3-540-27868-9_103 ◽

2004 ◽

pp. 939-947 ◽

Cited By ~ 3

Author(s):

Pau Micó ◽

David Cuesta ◽

Daniel Novák

Keyword(s):

Hidden Markov Models ◽

Markov Models ◽

Hidden Markov

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Multiple Classifier Prediction Improvements against Imbalanced Datasets through Added Synthetic Examples

Lecture Notes in Computer Science - Structural, Syntactic, and Statistical Pattern Recognition ◽

10.1007/978-3-540-27868-9_107 ◽

2004 ◽

pp. 974-982 ◽

Cited By ~ 2

Author(s):

Herna L. Viktor ◽

Hongyu Guo

Keyword(s):

Imbalanced Datasets ◽

Multiple Classifier

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Lecture Notes in Computer Science - Structural, Syntactic, and Statistical Pattern RecognitionLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Eigenspace Method by Autoassociative Networks for Object Recognition

A Shallow Description Framework for Musical Style Recognition

License Vehicle Plates Localization Using Maximum Correlation

Segmentation Graph Hierarchies

Comparison of Two Fast Nearest-Neighbour Search Methods in High-Dimensional Large-Sized Databases

Recognition of Handwritten Numerals Using a Combined Classifier with Hybrid Features

Finding Clusters and Components by Unsupervised Learning

A Syntactic Pattern Recognition Approach to Computer Assisted Translation

Preclustering of Electrocardiographic Signals Using Left-to-Right Hidden Markov Models

Multiple Classifier Prediction Improvements against Imbalanced Datasets through Added Synthetic Examples

Lecture Notes in Computer Science - Structural, Syntactic, and Statistical Pattern Recognition
Latest Publications