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Content-based image classification : efficient machine learning using robust feature extraction techniques / / Rik Das
Content-based image classification : efficient machine learning using robust feature extraction techniques / / Rik Das
Autore Das Rik <1978->
Edizione [First edition.]
Pubbl/distr/stampa Boca Raton, FL : , : CRC Press, , 2020
Descrizione fisica 1 online resource : illustrations
Disciplina 006.42
006.420285631
Soggetto topico Optical pattern recognition
ISBN 1-000-28047-0
0-429-35292-1
1-000-28071-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1.Introduction to Content Based Image Classification. 2. A Review of Hand-crafted Feature Extraction Techniques for Content Based Image Classification. 3. Content Based Feature Extraction: Color Averaging. 4. Content Based Feature Extraction: Image Binarization. 5. Content Based Feature Extraction: Image Transforms. 6. Content Based Feature Extraction: Morphological Operators.7. Content Based Feature Extraction: Texture Components. 8. Fusion Based Classification: A Comparison of Early Fusion and Late Fusion Architecture for Content Based Features. 9. Future Directions: A Journey from Handcrafted Techniques to Representation Learning. 10. WEKA: Beginners' Tutorial
Record Nr. UNINA-9910860839503321
Das Rik <1978->  
Boca Raton, FL : , : CRC Press, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Pattern Recognition [[electronic resource] ] : 37th German Conference, GCPR 2015, Aachen, Germany, October 7-10, 2015, Proceedings / / edited by Juergen Gall, Peter Gehler, Bastian Leibe
Pattern Recognition [[electronic resource] ] : 37th German Conference, GCPR 2015, Aachen, Germany, October 7-10, 2015, Proceedings / / edited by Juergen Gall, Peter Gehler, Bastian Leibe
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (XVIII, 564 p. 208 illus. in color.)
Disciplina 006.420285631
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Pattern recognition
Optical data processing
Artificial intelligence
Computer graphics
Computer simulation
Pattern Recognition
Image Processing and Computer Vision
Artificial Intelligence
Computer Graphics
Simulation and Modeling
ISBN 3-319-24947-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Sections on motion and reconstruction -- Mathematical foundations and image processing -- Biomedical image analysis and applications -- Human pose analysis; Recognition and scene understanding.
Record Nr. UNISA-996466295203316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Pattern Recognition : 37th German Conference, GCPR 2015, Aachen, Germany, October 7-10, 2015, Proceedings / / edited by Juergen Gall, Peter Gehler, Bastian Leibe
Pattern Recognition : 37th German Conference, GCPR 2015, Aachen, Germany, October 7-10, 2015, Proceedings / / edited by Juergen Gall, Peter Gehler, Bastian Leibe
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (XVIII, 564 p. 208 illus. in color.)
Disciplina 006.420285631
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Pattern recognition
Optical data processing
Artificial intelligence
Computer graphics
Computer simulation
Pattern Recognition
Image Processing and Computer Vision
Artificial Intelligence
Computer Graphics
Simulation and Modeling
ISBN 3-319-24947-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Sections on motion and reconstruction -- Mathematical foundations and image processing -- Biomedical image analysis and applications -- Human pose analysis; Recognition and scene understanding.
Record Nr. UNINA-9910484184403321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui