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001445986 001__ 1445986
001445986 003__ OCoLC
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001445986 019__ $$a1311156171$$a1311239624$$a1311269004$$a1311359056$$a1311465463
001445986 020__ $$a9783031041129$$q(electronic bk.)
001445986 020__ $$a3031041127$$q(electronic bk.)
001445986 020__ $$z3031041119
001445986 020__ $$z9783031041112
001445986 0247_ $$a10.1007/978-3-031-04112-9$$2doi
001445986 035__ $$aSP(OCoLC)1311330596
001445986 040__ $$aEBLCP$$beng$$epn$$cEBLCP$$dGW5XE$$dYDX$$dOCLCO$$dOCLCF$$dOCLCQ$$dUKAHL$$dOCLCQ
001445986 049__ $$aISEA
001445986 050_4 $$aTK7882.P3
001445986 08204 $$a006.4$$223/eng/20220421
001445986 1112_ $$aMediterranean Conference on Pattern Recognition and Artificial Intelligence$$n(5th :$$d2021 :$$cOnline)
001445986 24510 $$aPattern recognition and artificial intelligence :$$b5th Mediterranean Conference, MedPRAI 2021, Istanbul, Turkey, December 17-18, 2021, Proceedings /$$cChawki Djeddi, Imran Siddiqi, Akhtar Jamil, Alaa Ali Hameed, İsmail Kucuk (eds.).
001445986 2463_ $$aMedPRAI 2021
001445986 260__ $$aCham, Switzerland :$$bSpringer,$$c2022.
001445986 300__ $$a1 online resource (388 pages)
001445986 336__ $$atext$$btxt$$2rdacontent
001445986 337__ $$acomputer$$bc$$2rdamedia
001445986 338__ $$aonline resource$$bcr$$2rdacarrier
001445986 4901_ $$aCommunications in computer and information science ;$$v1543
001445986 500__ $$a4.2 Pre-processing.
001445986 500__ $$aIncludes author index.
001445986 5050_ $$aIntro -- Preface -- Organization -- Contents -- Computer Vision and Image Processing -- Human Action Recognition Using Attention Mechanism and Gaze Information -- 1 Introduction -- 2 Related Works -- 2.1 HOI Detection -- 2.2 Gaze Following -- 3 The Proposed Idea -- 3.1 The Basic Model -- 3.2 The Proposed Structure -- 3.3 Gaze Heatmap and the Improved iCAN Module -- 3.4 Depth-Wise Separable Convolution -- 4 Experimental Results -- 4.1 Dataset -- 4.2 Evaluation Metrics -- 4.3 Implementation Details -- 4.4 Quantitative Evaluation -- 4.5 Qualitative Evaluation -- 4.6 Ablation Study
001445986 5058_ $$a5 Conclusion -- References -- Face Recognition Under Partial Occlusion: A Detection and Exclusion of Occluded Face Regions Approach -- 1 Introduction -- 2 Literature Review -- 3 The Proposed Framework -- 3.1 Training Phase -- 3.2 Testing Phase -- 4 Experiments -- 4.1 Implementation Details -- 4.2 Evaluation Metrics -- 4.3 Non-occluded Region Retrieval Using Skin Detection -- 4.4 Non-occluded Region Retrieval Using Haar Cascade Classifiers -- 4.5 Effect of the Number of Images in Learning a Class -- 5 Conclusion -- References -- Color Vision Deficiency and Live Recoloring -- 1 Introduction
001445986 5058_ $$a2 Background and Related Work -- 3 Proposed System -- 4 Experiments and Results -- 5 Conclusion -- References -- Real Time Handling Occlusion in Augmented Reality Based on Photogrammetry -- 1 Introduction -- 2 Related Work -- 2.1 Contour-Based Methods -- 2.2 Depth-Based Method -- 2.3 3D Reconstruction Based Method -- 3 System Overview -- 3.1 Photogrammertic 3D Modeling -- 3.2 AR Application Development with Handling Occlusion -- 4 Results and Discussion -- 4.1 Experimental Results -- 4.2 Discussion -- 5 Conclusion -- References
001445986 5058_ $$aColour Image Encryption Based on Fisher-Yates Algorithm and Chaotic Maps -- 1 Introduction -- 2 Materials and Methods -- 2.1 2D Logistic-Tent Map -- 2.2 Fisher-Yates Algorithm -- 2.3 Diffusion Using 2D LTM -- 2.4 Proposed Method for Encrypting Colour Image -- 3 Results and Discussion -- 3.1 Statistical Attack Analysis -- 4 Conclusion -- References -- Robust SLAM System by Incorporating UWB Positioning and Landmark Localization -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 4 Experiments -- 5 Conclusion -- References -- Intelligent Systems for Medical Diagnosis
001445986 5058_ $$aDeep Learning for Liver Disease Prediction -- 1 Introduction -- 2 Related Works -- 3 Materials and Methods -- 3.1 Datasets -- 3.2 Preprocessing -- 3.3 Model Building -- 4 Experimental Results -- 4.1 Model Evaluation -- 5 Results and Discussion -- 5.1 Experiments on BUPA Dataset -- 5.2 Experiments on ILPD Dataset -- 6 Conclusion -- References -- Pre-trained Backbones Effect on Nuclei Segmentation Performance -- 1 Introduction -- 2 Background -- 3 Methods -- 3.1 VGG16 -- 3.2 MobileNet -- 3.3 EfficientNet B3 -- 4 Experiments and Results -- 4.1 Triple Negative Breast Cancer Dataset
001445986 506__ $$aAccess limited to authorized users.
001445986 520__ $$aThis book constitutes the refereed proceedings of the 5th Mediterranean Conference on Pattern Recognition and Artificial Intelligence, MedPRAI 2021, held in Istanbul, Turkey, in December 2021. Due to the COVID-19 pandemic, MedPRAI 2021 was held fully online. The 28 revised full papers and 4 short papers presented were thoroughly reviewed and selected from 72 submissions. The papers are covering the topics of recent advancements in different areas of pattern recognition and artificial intelligence, such as statistical, structural and syntactic pattern recognition, machine learning, data mining, neural networks, computer vision, multimedia systems, information retrieval, etc.
001445986 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed April 21, 2022).
001445986 650_0 $$aPattern recognition systems$$vCongresses.
001445986 650_0 $$aArtificial intelligence$$vCongresses.
001445986 650_6 $$aReconnaissance des formes (Informatique)$$vCongrès.
001445986 650_6 $$aIntelligence artificielle$$vCongrès.
001445986 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001445986 655_0 $$aElectronic books.
001445986 7001_ $$aDjeddi, Chawki.
001445986 7001_ $$aSiddiqi, Imran.
001445986 7001_ $$aJamil, Akhtar.
001445986 7001_ $$aAli Hameed, Alaa.
001445986 7001_ $$aKucuk, İsmail.
001445986 77608 $$iPrint version:$$aDjeddi, Chawki.$$tPattern Recognition and Artificial Intelligence.$$dCham : Springer International Publishing AG, ©2022$$z9783031041112
001445986 830_0 $$aCommunications in computer and information science ;$$v1543.
001445986 852__ $$bebk
001445986 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-04112-9$$zOnline Access$$91397441.1
001445986 909CO $$ooai:library.usi.edu:1445986$$pGLOBAL_SET
001445986 980__ $$aBIB
001445986 980__ $$aEBOOK
001445986 982__ $$aEbook
001445986 983__ $$aOnline
001445986 994__ $$a92$$bISE