Books on the topic 'Feature processing'

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1

S, Aguado Alberto, ed. Feature extraction and image processing. Oxford: Newnes, 2002.

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2

Hu, Li, and Zhiguo Zhang, eds. EEG Signal Processing and Feature Extraction. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9113-2.

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3

Porter, Nicholas David. Facial feature processing using artificial neural networks. [s.l.]: typescript, 1998.

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4

Nixon, Mark. Feature Extraction & Image Processing for Computer Vision. 3rd ed. Burlington: Elsevier Science, 2012.

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5

Trost, Harald. Feature formalisms and linguistic ambiguity. New York: Ellis Horwood, 1993.

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6

Tuytelaars, Tinne. Local invariant feature detectors: A survey. Hanover, MA: Now Publishers, 2008.

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7

Anders, Søgaard, and Haugereid Petter, eds. Typed feature structure grammars. Frankfurt am Main: Lang, 2009.

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8

Anders, Søgaard, and Haugereid Petter, eds. Typed feature structure grammars. Frankfurt am Main: Lang, 2009.

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9

Rand, Robert S. Texture analysis and cartographic feature extraction. Fort Belvoir, Va: U.S. Army Corps of Engineers, Engineer Topographic Laboratories, 1985.

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10

United States. Forest Service. Engineering Staff., ed. Cartographic feature files: A synopsis for the user. Washington, DC: U.S. Dept. of Agriculture, Forest Service, Engineering Staff, 1996.

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11

K, Kokula Krishna Hari, and K. Saravanan, eds. Exploratory Analysis of Feature Selection Techniques in Medical Image Processing. Tiruppur, Tamil Nadu, India: Association of Scientists, Developers and Faculties, 2016.

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12

J, Shah Jami, Mäntylä Martti 1955-, and Nau Dana S, eds. Advances in feature based manufacturing. Amsterdam: Elsevier, 1994.

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13

United States. National Aeronautics and Space Administration., ed. 3D feature extraction for unstructured grids. [Washington, DC: National Aeronautics and Space Administration, 1996.

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14

Samukawa, Seiji. Feature Profile Evolution in Plasma Processing Using On-wafer Monitoring System. Tokyo: Springer Japan, 2014. http://dx.doi.org/10.1007/978-4-431-54795-2.

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15

Samukawa, Seiji. Feature profile evolution in plasma processing using on-wafer monitoring system. Tokyo: Springer, 2014.

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16

A, Landgrebe D., and United States. National Aeronautics and Space Administration., eds. Spectral feature design in high dimensional multispectral data. West Lafayette, Ind: School of Electrical Engineering, Purdue University, 1988.

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17

A, Landgrebe D., and United States. National Aeronautics and Space Administration., eds. On-line object feature extraction for multispectral scene representation. West Lafayette, Ind: School of Electrical Engineering, Purdue University ; [Washington, DC, 1988.

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18

A, Landgrebe D., and United States. National Aeronautics and Space Administration., eds. On-line object feature extraction for multispectral scene representation. West Lafayette, Ind: School of Electrical Engineering, Purdue University ; [Washington, DC, 1988.

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19

National Institute of Standards and Technology (U.S.), ed. A lexical analogy to feature matching and pose estimation. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 2002.

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20

National Institute of Standards and Technology (U.S.), ed. A lexical analogy to feature matching and pose estimation. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 2002.

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21

Murach, Mike. Word 6 for Windows: How to use the mail merge feature. Fresno, Calif: M. Murach & Associates, 1995.

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22

Puig, Luis. Omnidirectional Vision Systems: Calibration, Feature Extraction and 3D Information. London: Springer London, 2013.

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23

Hristea, Florentina T. The Naïve Bayes Model for Unsupervised Word Sense Disambiguation: Aspects Concerning Feature Selection. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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24

Atlantic Oceanographic and Meteorological Laboratories, ed. Operations manual for PELAGOS: An expert system for quality control and feature recognition of oceanographic data from the open ocean. Miami, Fla: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Atlantic Oceanographic and Meteorological Laboratory, 1995.

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25

Atlantic Oceanographic and Meteorological Laboratories., ed. Operations manual for PELAGOS: An expert system for quality control and feature recognition of oceanographic data from the open ocean. Miami, Fla: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Atlantic Oceanographic and Meteorological Laboratory, 1995.

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26

Atlantic Oceanographic and Meteorological Laboratories., ed. Operations manual for PELAGOS: An expert system for quality control and feature recognition of oceanographic data from the open ocean. Miami, Fla: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Atlantic Oceanographic and Meteorological Laboratory, 1995.

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27

Soldati, John M. Risk assessments: Processing bond put and call features. Washington, D.C. (1120 Connecticut Ave., N.W., Washington 20036): American Bankers Association, 1987.

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28

Alderman, Eric. Advanced WordPerfect: Features & techniques. Berkeley, Calif: Osborne McGraw-Hill, 1986.

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29

Sullivan, Rick. WordPerfect 5.1: Advanced features. Cincinnati, OH: South-Western Pub. Co., 1991.

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30

Townsend, George. Brain-computer interfaces: Phase features and post processing issues. Graz, Austria: Technischen Universitat Graz, 2006.

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31

Sullivan, Rick. WordPerfect 4.1/4.2: Advanced features. Cincinnati, OH: South-Western Pub. Co., 1991.

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32

American Bankers Association. Fiduciary and Securities Operations Division., ed. Risk management and control: Processing bond put and call features. Washington, D.C. (1120 Connecticut Ave., N.W., Washington 20036): Fiduciary and Securities Operations Division, American Bankers Association, 1990.

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33

Eric, Alderman, ed. Advanced Word Perfect: Features and techniques. Berkeley, CA: Osborne McGraw-Hill, 1986.

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34

J, Magid Lawrence, ed. Advanced WordPerfect: Features & techniques : version 4.2. 2nd ed. Berkeley, Calif: Osborne McGraw-Hill, 1987.

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35

G, Freeman Robert. Oracle9i new features. New York: McGraw-Hill/Osborne, 2002.

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36

Reiss, Thomas H. Recognizing planar objects using invariant image features. Berlin: Springer-Verlag, 1993.

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37

Nixon, Mark. Feature Extraction and Image Processing. Elsevier Science & Technology Books, 2013.

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38

Feature Extraction and Image Processing. Elsevier, 2002. http://dx.doi.org/10.1016/c2009-0-25049-5.

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39

Nixon, Mark. Feature Extraction and Image Processing. Elsevier Science & Technology Books, 2008.

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40

Hu, Li, and Zhiguo Zhang. EEG Signal Processing and Feature Extraction. Springer, 2019.

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41

Hu, Li, and Zhiguo Zhang. EEG Signal Processing and Feature Extraction. Springer Singapore Pte. Limited, 2020.

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42

Nixon, Mark, and Alberto S. Aguado. Feature Extraction & Image Processing, Second Edition. 2nd ed. Academic Press, 2007.

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43

Feature Extraction & Image Processing, Second Edition. Academic Press, 2007.

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44

Feature Extraction Image Processing For Computer Vision. Academic Press, 2012.

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45

Alonso-Betanzos, Amparo, Noelia Sánchez-Maroño, and Verónica Bolón-Canedo. Feature Selection for High-Dimensional Data. Springer, 2015.

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46

Alonso-Betanzos, Amparo, Noelia Sánchez-Maroño, and Verónica Bolón-Canedo. Feature Selection for High-Dimensional Data. Springer, 2016.

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47

Alonso-Betanzos, Amparo, Noelia Sánchez-Maroño, and Verónica Bolón-Canedo. Feature Selection for High-Dimensional Data. Springer, 2015.

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48

Feature Extraction & Image Processing for Computer Vision. Elsevier, 2012. http://dx.doi.org/10.1016/c2011-0-06935-1.

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49

Feature Extraction and Image Processing for Computer Vision. Elsevier, 2020. http://dx.doi.org/10.1016/c2017-0-02153-5.

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50

Patra, Prasenjit Kr, Nilanjan Dey, and Amira Ashour. Feature Detectors and Motion Detection in Video Processing. IGI Global, 2016.

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