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Books on the topic 'Recognition algorithms'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Maji, Pradipta, and Sushmita Paul. Scalable Pattern Recognition Algorithms. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05630-2.

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2

K, Pal Sankar, and Wang Paul P, eds. Genetic algorithms for pattern recognition. CRC Press, 1996.

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3

Blostein, Dorothea, and Young-Bin Kwon, eds. Graphics Recognition Algorithms and Applications. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45868-9.

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4

Bhanu, Bir, and Xuejun Tan. Computational Algorithms for Fingerprint Recognition. Springer US, 2004. http://dx.doi.org/10.1007/978-1-4615-0491-7.

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5

Tombre, Karl, and Atul K. Chhabra, eds. Graphics Recognition Algorithms and Systems. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/3-540-64381-8.

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6

Xuejun, Tan, ed. Computational algorithms for fingerprint recognition. Kluwer Academic Publishers, 2004.

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7

Réjean, Plamondon, Cheng Heng-Da, and Vision Interface '90 Conference (1990 : Halifax, N.S.), eds. Pattern recognition: Architectures, algorithms & applications. World Scientific, 1991.

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8

Bhanu, Bir. Computational algorithms for fingerprint recognition. Kluwer Academic Publishers, 2003.

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9

Li, Jun-Bao, Shu-Chuan Chu, and Jeng-Shyang Pan. Kernel Learning Algorithms for Face Recognition. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-0161-2.

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10

M, Newton Elaine, and Information Technology Laboratory (National Institute of Standards and Technology). Mathematical and Computational Sciences Division, eds. Meta-analysis of face recognition algorithms. U.S. Dept. of Commerce, Technology Administration, Mathematics and Computational Sciences Division, National Institute of Standards and Technology, 2001.

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11

M, Newton Elaine, and Information Technology Laboratory (National Institute of Standards and Technology). Mathematical and Computational Sciences Division., eds. Meta-analysis of face recognition algorithms. U.S. Dept. of Commerce, Technology Administration, Mathematics and Computational Sciences Division, National Institute of Standards and Technology, 2001.

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12

M, Newton Elaine, and Information Technology Laboratory (National Institute of Standards and Technology). Mathematical and Computational Sciences Division., eds. Meta-analysis of face recognition algorithms. U.S. Dept. of Commerce, Technology Administration, Mathematics and Computational Sciences Division, National Institute of Standards and Technology, 2001.

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13

Elaine, Newton, and Information Technology Laboratory (National Institute of Standards and Technology). Mathematical and Computational Sciences Division, eds. Meta-analysis of face recognition algorithms. U.S. Dept. of Commerce, Technology Administration, Mathematics and Computational Sciences Division, National Institute of Standards and Technology, 2001.

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14

Miclet, Laurent. Structural methods in pattern recognition. Springer-Verlag, 1986.

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15

Miclet, L. Structural methods in pattern recognition. North Oxford Academic, 1986.

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16

Schachter, Bruce J. Automatic target recognition. SPIE, 2016.

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17

Vogt, Robert C. Automatic Generation of Morphological Set Recognition Algorithms. Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4613-9652-9.

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18

Vogt, Robert C. Automatic Generation of Morphological Set Recognition Algorithms. Springer New York, 1989.

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19

Parida, Laxmi. Pattern discovery in bioinformatics: Theory & algorithms. Chapman & Hall/CRC, 2007.

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20

Miclet, Laurent. Structural methods in pattern recognition. North Oxford Academic, 1986.

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21

Bahram, Javidi, ed. Image recognition and classification: Algorithms, systems, and applications. Marcel Dekker, 2002.

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22

Hori, Takaaki, and Atsushi Nakamura. Speech Recognition Algorithms Using Weighted Finite-State Transducers. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-031-02562-4.

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23

Jonathon, Phillips P., Moon Hyeonjoon, and National Institute of Standards and Technology (U.S.), eds. The FERET verification testing protocol for face recognition algorithms. U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1998.

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24

Jonathon, Phillips P., and National Institute of Standards and Technology (U.S.), eds. Assessing algorithms as computational models for human face recognition. U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1999.

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25

Amit, Yali. 2D object detection and recognition: Models, algorithms, and networks. MIT Press, 2002.

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26

Ranka, Sanjay. Hypercube Algorithms: With Applications to Image Processing and Pattern Recognition. Springer New York, 1990.

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27

Genetic Algorithms for Pattern Recognition. Taylor & Francis Group, 2017.

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28

Pal, Sankar K., and Paul P. Wang. Genetic Algorithms for Pattern Recognition. Taylor & Francis Group, 2017.

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29

Pal, Sankar K., and Paul P. Wang. Genetic Algorithms for Pattern Recognition. Taylor & Francis Group, 2017.

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30

Pal, Sankar K., and Paul P. Wang. Genetic Algorithms for Pattern Recognition. Taylor & Francis Group, 2017.

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31

Pal, Sankar K., and Paul P. Wang. Genetic Algorithms for Pattern Recognition. Taylor & Francis Group, 2017.

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32

Tan, Xuejun, and Bir Bhanu. Computational Algorithms for Fingerprint Recognition. Springer London, Limited, 2012.

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33

Pal, Sankar K., and Paul P. Wang. Genetic Algorithms for Pattern Recognition. Edited by Sankar K. Pal and Paul P. Wang. CRC Press, 2017. http://dx.doi.org/10.1201/9780203713402.

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34

NETLAB: Algorithms for pattern recognition. Springer, 2002.

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35

Bhanu, Bir. Computational Algorithms for Fingerprint Recognition. Springer, 2012.

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36

Computational Algorithms for Fingerprint Recognition. Island Press, 2003.

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37

Meta-analysis of face recognition algorithms. U.S. Dept. of Commerce, Technology Administration, Mathematics and Computational Sciences Division, National Institute of Standards and Technology, 2001.

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38

Pan, Jeng-Shyang, Jun-Bao Li, and Shu-Chuan Chu. Kernel Learning Algorithms for Face Recognition. Springer, 2013.

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39

Plamondon, Réjean, and Heng-Da Cheng. Pattern Recognition: Architectures, Algorithms and Applications. WORLD SCIENTIFIC, 1991. http://dx.doi.org/10.1142/1363.

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40

Meta-analysis of face recognition algorithms. U.S. Dept. of Commerce, Technology Administration, Mathematics and Computational Sciences Division, National Institute of Standards and Technology, 2001.

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41

Meta-analysis of face recognition algorithms. U.S. Dept. of Commerce, Technology Administration, Mathematics and Computational Sciences Division, National Institute of Standards and Technology, 2001.

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42

Cheng, Heng-Da. Pattern Recognition: Architectures, Algorithms and Applications. World Scientific Publishing Co Pte Ltd, 1991.

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43

Pattern Recognition Algorithms for Data Mining. Taylor & Francis Group, 2019.

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44

Revival: Genetic Algorithms for Pattern Recognition. Taylor & Francis Group, 2019.

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45

Pan, Jeng-Shyang, Jun-Bao Li, and Shu-Chuan Chu. Kernel Learning Algorithms for Face Recognition. Springer London, Limited, 2013.

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46

Pal, Sankar K., and Pabitra Mitra. Pattern Recognition Algorithms for Data Mining. Taylor & Francis Group, 2004.

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47

Pal, Sankar K., and Pabitra Mitra. Pattern Recognition Algorithms for Data Mining. Chapman & Hall/CRC, 2004.

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48

Pal, Sankar K., and Pabitra Mitra. Pattern Recognition Algorithms for Data Mining. Taylor & Francis Group, 2004.

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49

Pal, Sankar K., and Pabitra Mitra. Pattern Recognition Algorithms for Data Mining. Taylor & Francis Group, 2004.

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50

Pal, Sankar K., and Pabitra Mitra. Pattern Recognition Algorithms for Data Mining. Taylor & Francis Group, 2004.

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