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1

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

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2

Wright, Martin D. Feature based modelling for machining. typescript, 1998.

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3

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

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4

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

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5

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

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6

Patil, D. Feature based computer aided process planning. typescript, 1995.

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7

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

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8

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

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9

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

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10

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

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11

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

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12

Raghuwanshi, Sanjeev Kumar, Santosh Kumar, and Ritesh Kumar. Geometric Feature-Based Fiber Optic Surface Plasmon Resonance Sensors. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-7297-5.

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13

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

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14

Jun, Yong-Tae. A feature-based reverse engineering system using artificial neural networks. typescript, 1999.

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15

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

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16

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

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17

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

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18

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

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19

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

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20

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

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21

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

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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
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24

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

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25

Mahesh, Maski. Feature Based Image Registration and Mosaicing. LAP Lambert Academic Publishing, 2015.

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26

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

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27

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

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28

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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29

Mushtaq, Saba. Signature Verification Based on a Feature Extraction Technique. GRIN Verlag GmbH, 2017.

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30

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

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31

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

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32

Kumar, Ritesh. Geometric Feature Based Fiber Optic Surface Plasmon Resonance Sensors. Springer, 2023.

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33

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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34

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

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35

Unsupervised Feature Extraction Applied to Bioinformatics: A PCA Based and TD Based Approach. Springer International Publishing AG, 2024.

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36

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

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37

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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38

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

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39

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

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40

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 latte
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41

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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42

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

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43

Varieties of raising and the feature-based bare phrase structure theory. Distributed by MIT Working Papers in Linguistics, 1994.

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44

Arzmi, Mohd Hafiz, and Hong-Seng Gan. Deep Learning in Cancer Diagnostics: A Feature-Based Transfer Learning Evaluation. Springer, 2023.

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45

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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46

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

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47

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

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48

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

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49

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

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50

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

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