Feature dimension reduction for content-based image identification:
"This book explores various research applications in the complementary fields of 3D image processing. It covers segmentation techniques for feature reduction, clustering techniques for feature reduction, early fusion of extracted features, late fusion of classification decision, supervised lear...
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA)
IGI Global
[c2018]
|
| Schlagworte: | |
| Online-Zugang: | DE-862 DE-863 |
| Zusammenfassung: | "This book explores various research applications in the complementary fields of 3D image processing. It covers segmentation techniques for feature reduction, clustering techniques for feature reduction, early fusion of extracted features, late fusion of classification decision, supervised learning and unsupervised learning techniques"-- |
| Beschreibung: | 21 PDFs (xix, 284 Seiten) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781522557760 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
MARC
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| 040 | |a CaBNVSL |b eng |e rda |c CaBNVSL |d CaBNVSL | ||
| 050 | 4 | |a TA1650 |b .F43 2019e | |
| 082 | 7 | |a 006.4/2 |2 23 | |
| 245 | 0 | 0 | |a Feature dimension reduction for content-based image identification |c Rik Das, Sourav De, and Siddhartha Bhattacharyya, editors. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) |b IGI Global |c [c2018] | |
| 300 | |a 21 PDFs (xix, 284 Seiten) | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Chapter 1. An integrated framework for information identification with image data using multi-technique feature extraction -- Chapter 2. Dimension reduction using image transform for content-based feature extraction -- Chapter 3. Fuzzy techniques for content-based image retrieval -- Chapter 4. Machine-learning-based image feature selection -- Chapter 5. Feature selection using neighborhood positive approximation rough set -- Chapter 6. Clustering techniques for content-based feature extraction from image -- Chapter 7. Machine-learning-based external plagiarism detecting methodology from monolingual documents: a comparative study -- Chapter 8. Segmentation of multiple touching hand written devnagari compound characters: image segmentation for feature extraction -- Chapter 9. Logo matching and recognition based on context -- Chapter 10. Detecting and tracking segmentation of moving objects using graph cut algorithm -- Chapter 11. Deep-learning-based classification and diagnosis of Alzheimer's disease -- Chapter 12. Application of object recognition with shape-index identification and 2d scale invariant feature transform for key-point detection -- Chapter 13. Image segmentation for feature extraction: a study on disease diagnosis in agricultural plants. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "This book explores various research applications in the complementary fields of 3D image processing. It covers segmentation techniques for feature reduction, clustering techniques for feature reduction, early fusion of extracted features, late fusion of classification decision, supervised learning and unsupervised learning techniques"-- |c Provided by publisher. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | 0 | |a Description based on title screen (IGI Global, viewed 06/06/2018). | |
| 650 | 0 | |a Computer vision. | |
| 650 | 0 | |a Data reduction. | |
| 650 | 0 | |a Image analysis |x Data processing. | |
| 650 | 0 | |a Optical pattern recognition. | |
| 653 | |a Clustering Techniques. | ||
| 653 | |a Computer Vision. | ||
| 653 | |a Feature Extraction. | ||
| 653 | |a Fusion Techniques. | ||
| 653 | |a Image Classification. | ||
| 653 | |a Image Retrieval. | ||
| 653 | |a Image Segmentation. | ||
| 653 | |a Information Identification. | ||
| 653 | |a Logo Matching. | ||
| 653 | |a Plagiarism Detection. | ||
| 653 | |a Supervised Learning. | ||
| 653 | |a Visual Databases. | ||
| 700 | 1 | |a Bhattacharyya, Siddhartha |d 1975- |e editor. | |
| 700 | 1 | |a Das, Rik |d 1978- |e editor. | |
| 700 | 1 | |a De, Sourav |d 1979- |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | |c (Original) |w (DLC)2017055700 | |
| 776 | 0 | 8 | |i Print version: |z 152255775X |z 9781522557753 |w (DLC) 2017055700 |
| 966 | 4 | 0 | |l DE-862 |p ZDB-98-IGB |q FWS_PDA_IGB |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-5775-3 |3 Volltext |
| 966 | 4 | 0 | |l DE-863 |p ZDB-98-IGB |q FWS_PDA_IGB |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-5775-3 |3 Volltext |
| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-862 | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-98-IGB-00192042 |
|---|---|
| _version_ | 1826942594814312448 |
| adam_text | |
| any_adam_object | |
| author2 | Bhattacharyya, Siddhartha 1975- Das, Rik 1978- De, Sourav 1979- |
| author2_role | edt edt edt |
| author2_variant | s b sb r d rd s d sd |
| author_facet | Bhattacharyya, Siddhartha 1975- Das, Rik 1978- De, Sourav 1979- |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | T - Technology |
| callnumber-label | TA1650 |
| callnumber-raw | TA1650 .F43 2019e |
| callnumber-search | TA1650 .F43 2019e |
| callnumber-sort | TA 41650 F43 42019E |
| callnumber-subject | TA - General and Civil Engineering |
| collection | ZDB-98-IGB |
| contents | Chapter 1. An integrated framework for information identification with image data using multi-technique feature extraction -- Chapter 2. Dimension reduction using image transform for content-based feature extraction -- Chapter 3. Fuzzy techniques for content-based image retrieval -- Chapter 4. Machine-learning-based image feature selection -- Chapter 5. Feature selection using neighborhood positive approximation rough set -- Chapter 6. Clustering techniques for content-based feature extraction from image -- Chapter 7. Machine-learning-based external plagiarism detecting methodology from monolingual documents: a comparative study -- Chapter 8. Segmentation of multiple touching hand written devnagari compound characters: image segmentation for feature extraction -- Chapter 9. Logo matching and recognition based on context -- Chapter 10. Detecting and tracking segmentation of moving objects using graph cut algorithm -- Chapter 11. Deep-learning-based classification and diagnosis of Alzheimer's disease -- Chapter 12. Application of object recognition with shape-index identification and 2d scale invariant feature transform for key-point detection -- Chapter 13. Image segmentation for feature extraction: a study on disease diagnosis in agricultural plants. |
| ctrlnum | (CaBNVSL)slc20337262 (OCoLC)1039357990 |
| dewey-full | 006.4/2 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.4/2 |
| dewey-search | 006.4/2 |
| dewey-sort | 16.4 12 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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| id | ZDB-98-IGB-00192042 |
| illustrated | Not Illustrated |
| indexdate | 2025-03-18T14:30:30Z |
| institution | BVB |
| isbn | 9781522557760 |
| language | English |
| oclc_num | 1039357990 |
| open_access_boolean | |
| owner | DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
| owner_facet | DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
| physical | 21 PDFs (xix, 284 Seiten) Also available in print. |
| psigel | ZDB-98-IGB FWS_PDA_IGB ZDB-98-IGB |
| publishDate | 2018 |
| publishDateSearch | 2018 |
| publishDateSort | 2018 |
| publisher | IGI Global |
| record_format | marc |
| spelling | Feature dimension reduction for content-based image identification Rik Das, Sourav De, and Siddhartha Bhattacharyya, editors. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) IGI Global [c2018] 21 PDFs (xix, 284 Seiten) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Chapter 1. An integrated framework for information identification with image data using multi-technique feature extraction -- Chapter 2. Dimension reduction using image transform for content-based feature extraction -- Chapter 3. Fuzzy techniques for content-based image retrieval -- Chapter 4. Machine-learning-based image feature selection -- Chapter 5. Feature selection using neighborhood positive approximation rough set -- Chapter 6. Clustering techniques for content-based feature extraction from image -- Chapter 7. Machine-learning-based external plagiarism detecting methodology from monolingual documents: a comparative study -- Chapter 8. Segmentation of multiple touching hand written devnagari compound characters: image segmentation for feature extraction -- Chapter 9. Logo matching and recognition based on context -- Chapter 10. Detecting and tracking segmentation of moving objects using graph cut algorithm -- Chapter 11. Deep-learning-based classification and diagnosis of Alzheimer's disease -- Chapter 12. Application of object recognition with shape-index identification and 2d scale invariant feature transform for key-point detection -- Chapter 13. Image segmentation for feature extraction: a study on disease diagnosis in agricultural plants. Restricted to subscribers or individual electronic text purchasers. "This book explores various research applications in the complementary fields of 3D image processing. It covers segmentation techniques for feature reduction, clustering techniques for feature reduction, early fusion of extracted features, late fusion of classification decision, supervised learning and unsupervised learning techniques"-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 06/06/2018). Computer vision. Data reduction. Image analysis Data processing. Optical pattern recognition. Clustering Techniques. Computer Vision. Feature Extraction. Fusion Techniques. Image Classification. Image Retrieval. Image Segmentation. Information Identification. Logo Matching. Plagiarism Detection. Supervised Learning. Visual Databases. Bhattacharyya, Siddhartha 1975- editor. Das, Rik 1978- editor. De, Sourav 1979- editor. IGI Global, publisher. (Original) (DLC)2017055700 Print version: 152255775X 9781522557753 (DLC) 2017055700 |
| spellingShingle | Feature dimension reduction for content-based image identification Chapter 1. An integrated framework for information identification with image data using multi-technique feature extraction -- Chapter 2. Dimension reduction using image transform for content-based feature extraction -- Chapter 3. Fuzzy techniques for content-based image retrieval -- Chapter 4. Machine-learning-based image feature selection -- Chapter 5. Feature selection using neighborhood positive approximation rough set -- Chapter 6. Clustering techniques for content-based feature extraction from image -- Chapter 7. Machine-learning-based external plagiarism detecting methodology from monolingual documents: a comparative study -- Chapter 8. Segmentation of multiple touching hand written devnagari compound characters: image segmentation for feature extraction -- Chapter 9. Logo matching and recognition based on context -- Chapter 10. Detecting and tracking segmentation of moving objects using graph cut algorithm -- Chapter 11. Deep-learning-based classification and diagnosis of Alzheimer's disease -- Chapter 12. Application of object recognition with shape-index identification and 2d scale invariant feature transform for key-point detection -- Chapter 13. Image segmentation for feature extraction: a study on disease diagnosis in agricultural plants. Computer vision. Data reduction. Image analysis Data processing. Optical pattern recognition. |
| title | Feature dimension reduction for content-based image identification |
| title_auth | Feature dimension reduction for content-based image identification |
| title_exact_search | Feature dimension reduction for content-based image identification |
| title_full | Feature dimension reduction for content-based image identification Rik Das, Sourav De, and Siddhartha Bhattacharyya, editors. |
| title_fullStr | Feature dimension reduction for content-based image identification Rik Das, Sourav De, and Siddhartha Bhattacharyya, editors. |
| title_full_unstemmed | Feature dimension reduction for content-based image identification Rik Das, Sourav De, and Siddhartha Bhattacharyya, editors. |
| title_short | Feature dimension reduction for content-based image identification |
| title_sort | feature dimension reduction for content based image identification |
| topic | Computer vision. Data reduction. Image analysis Data processing. Optical pattern recognition. |
| topic_facet | Computer vision. Data reduction. Image analysis Data processing. Optical pattern recognition. |
| work_keys_str_mv | AT bhattacharyyasiddhartha featuredimensionreductionforcontentbasedimageidentification AT dasrik featuredimensionreductionforcontentbasedimageidentification AT desourav featuredimensionreductionforcontentbasedimageidentification AT igiglobal featuredimensionreductionforcontentbasedimageidentification |