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Books on the topic 'Feature-based'

Author: Grafiati
Published: 4 June 2021
Last updated: 21 February 2023

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1

Grant, Robin. Feature based image metamorphosis. Manchester: University of Manchester, Departmentof Computer Science, 1996.

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2

Wright, Martin D. Feature based modelling for machining. [s.l.]: typescript, 1998.

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3

Bennett, P. A. Feature-based approaches to grammar. Manchester: UMIST, 1995.

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4

Iskra, Dorota Jolanta. Feature-based approach to speech recognition. Birmingham: University of Birmingham, 2000.

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5

Patil, D. Feature based computer aided process planning. [s.l.]: typescript, 1995.

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6

Soenen, René, and Gustav J. Olling, eds. Feature Based Product Life-Cycle Modelling. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-0-387-35637-2.

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7

Langley, Christopher Stewart. Feature-based pose-estimation for robotic fixtureless assembly. Ottawa: National Library of Canada, 2001.

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8

Soenen, R. Feature Based Product Life-Cycle Modelling: IFIP TC5. Boston, MA: Springer US, 2003.

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9

Wichert, Terry S. Feature based neural network acoustic transient signal classification. Monterey, Calif: Naval Postgraduate School, 1993.

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10

De Silva, Anthony Mihirana, and Philip H. W. Leong. Grammar-Based Feature Generation for Time-Series Prediction. Singapore: Springer Singapore, 2015. http://dx.doi.org/10.1007/978-981-287-411-5.

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11

Jun, Yong-Tae. A feature-based reverse engineering system using artificial neural networks. [s.l.]: typescript, 1999.

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12

1955-, Mäntylä Martti, ed. Parametric and feature-based CAD/CAM: Concepts, techniques, and applications. New York: Wiley, 1995.

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13

Raza, Muhammad Summair, and Usman Qamar. Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4965-1.

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14

Raza, Muhammad Summair, and Usman Qamar. Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9166-9.

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15

Iles, Jonathan Paul. Text-to-speech conversion using feature based formant synthesis in a non-linear framework. Birmingham: University of Birmingham, 1995.

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16

L, Fisher Dorsey, ed. Marvin Gaye, the untold chapter: Based on the upcoming feature film, The untold chapter. [Stone Mountain, Ga: De'Vonne Productions, 1997.

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17

The art and craft of feature writing: Based on the Wall Street Journal guide. New York: New American Library, 1988.

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18

Glennon, Jonathan Scott. Feature-based localization in sonar-equipped autonomous mobile robots through hough transform and unsupervised learning network. Monterey, Calif: Naval Postgraduate School, 1998.

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19

A feature-based syntax of functional categories: The structure, acquisition, and specific impairment of functional systems. Berlin: Mouton de Gruyter, 2005.

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20

Shah, J. J., M. Mäntylä, and D. S. Nau. Advances in Feature Based Manufacturing. Elsevier Science & Technology Books, 2013.

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21

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

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22

Advances in Feature Based Manufacturing. Elsevier, 1994. http://dx.doi.org/10.1016/c2009-0-13161-6.

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23

Treue, Stefan. Object- and Feature-Based Attention. Edited by Anna C. (Kia) Nobre and Sabine Kastner. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199675111.013.008.

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The allocation of selective visual attention to a particular region of visual space has been attention’s most-studied variant. But attention can also be allocated to features, such as a particular colour or direction of motion. Studies from the visual cortex of rhesus monkeys have revealed a gain modulation across visual space that enhances the response of neurons that show a preference for the attended feature and a reduced responsiveness of those neurons tuned to the opposite feature. Such studies have also provided evidence for object-based attention, where the attentional enhancement of a neural representation affects the complex amalgamation of features that make up an object. All these forms of visual attention together create an integrated saliency map or priority map, that is, an integrated representation of relative stimulus strength and behavioural relevance across visual space that underlies our perception of the environment.
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24

Wan Abdul Rahman Jauhari bin Wan Harun. Feature-based representation for assembly modelling. 1996.

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25

Anthony Mihirana Mihirana De Silva and Philip H. W. Leong. Grammar-Based Feature Generation for Time-Series Prediction. Springer, 2015.

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26

Feature Dimension Reduction for Content-Based Image Identification. IGI Global, 2018.

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27

Leong, Philip H. W., and Anthony Mihirana De Silva. Grammar-Based Feature Generation for Time-Series Prediction. Springer London, Limited, 2015.

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28

Hounsell, Marcelo da Silva. Feature-based validation reasoning for intent-driven engineering design. 1998.

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29

Stojanoski, Bobby. Influence of feature-based attentional mechanisms in object perception. 2007.

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30

Taguchi, Y.-h. Unsupervised Feature Extraction Applied to Bioinformatics: A PCA Based and TD Based Approach. Springer International Publishing AG, 2020.

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31

Taguchi, Y.-h. Unsupervised Feature Extraction Applied to Bioinformatics: A PCA Based and TD Based Approach. Springer, 2019.

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32

Bina, Alireza Tavakoli. Feature based workshop oriented NC planning for asymmetric rotational parts. 1993.

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33

National Aeronautics and Space Administration (NASA) Staff. Parallel Implementation of a Multisensor Feature-Based Range-Estimation Method. Independently Published, 2018.

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34

Mäntylä, Martti, and Jami J. Shah. Parametric and Feature-Based CAD/CAM: Concepts, Techniques, and Applications. Wiley & Sons, Incorporated, John, 2008.

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35

Huang, Xuan-Xuan. The representation of feature-based component data model in a knowledge-based process planning system. 1993.

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36

B, Sridhar, and Ames Research Center, eds. A parallel implementation of a multisensor feature-based range-estimation method. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1993.

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37

B, Sridhar, and Ames Research Center, eds. A parallel implementation of a multisensor feature-based range-estimation method. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1993.

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38

Scolari, Miranda, Edward F. Ester, and John T. Serences. Feature- and Object-Based Attentional Modulation in the Human Visual System. Edited by Anna C. (Kia) Nobre and Sabine Kastner. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199675111.013.009.

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To increase efficiency, sensory systems process only a subset of available inputs in accord with the behavioural goals of the observer. The mechanisms that support the prioritization of relevant over irrelevant stimuli, referred to collectively as selective attention, can operate on the basis of spatial location (space-based attention), low-level visual features (e.g. orientation or colour; feature-based attention), or holistic objects (object-based attention). This chapter reviews human behavioural, electrophysiological, and neuroimaging data pertaining to the effects and control of the latter two mechanisms. Based on an increasingly rich literature spanning several decades, the authors argue that even though feature- and object-based attention are often treated as independent mechanisms, they should instead be described along a single continuum in which the information selected for prioritized processing (whether it be a single feature or a holistic object representation) is flexibly dictated by task demands.
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39

Holambe, Raghunath S., and Amol D. Rahulkar. Iris Image Recognition: Wavelet Filter-Banks Based Iris Feature Extraction Schemes. Springer London, Limited, 2014.

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40

Holambe, Raghunath S., and Amol D. Rahulkar. Iris Image Recognition: Wavelet Filter-banks Based Iris Feature Extraction Schemes. Springer, 2014.

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41

Mitchell, Sean R. A feature based approach to the computer aided design of sculptured products. 1996.

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42

Raza, Muhammad Summair, and Usman Qamar. Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications. Springer, 2017.

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43

Feature Guided Image Registration Applied to Phase-and Wavelet-Based Optic Flow. Storming Media, 2003.

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44

(Editor), René Soenen, and Gustav J. Olling (Editor), eds. Feature Based Product Life-Cycle Modelling (IFIP International Federation for Information Processing). Springer, 2002.

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45

Content-Based Image Classification: Efficient Machine Learning Using Robust Feature Extraction Techniques. Taylor & Francis Group, 2020.

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46

Das, Rik. Content-Based Image Classification: Efficient Machine Learning Using Robust Feature Extraction Techniques. Taylor & Francis Group, 2020.

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47

Raza, Muhammad Summair, and Usman Qamar. Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications. Springer, 2019.

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48

Huelsen, Michael. Knowledge-Based Driver Assistance Systems: Traffic Situation Description and Situation Feature Relevance. Springer Vieweg. in Springer Fachmedien Wiesbaden GmbH, 2014.

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49

Huelsen, Michael. Knowledge-Based Driver Assistance Systems: Traffic Situation Description and Situation Feature Relevance. Springer Vieweg, 2014.

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50

Das, Rik. Content-Based Image Classification: Efficient Machine Learning Using Robust Feature Extraction Techniques. Taylor & Francis Group, 2020.

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