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Chrovision and True Colour: Applications for Colour Impaired Persons. 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On the angles of change of the neighborhood motion maps on the triangular grid. 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SYSTEM FOR DETECTING AND REPORTING CELL PHONE DISTRACTED DRIVERS. 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Vehicle pose estimation via regression of semantic points of interest. 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Cell detection on digitized Pap smear images using ensemble of conventional image processing and deep learning techniques. 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Automated analysis of radiology images using Convolutional Neural Networks. 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Visualization of Fibroid in Laparoscopy Videos using Ultrasound Image Segmentation and Augmented Reality. 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MMOD-COG: A Database for Multimodal Cognitive Load Classification. 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Estimating Biological Gender from Panoramic Dental X-Ray Images. 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An Image Texture Descriptor based Machine Learning Framework for Prediction of Thermo-Mechanic Heat Treatment Process in Plain Carbon Steel. 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Visual Perception for Autonomous Driving inspired by Convergence-Divergence Zones. 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Detecting outlier and poor quality medical images with an ensemble-based deep learning system. 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Detecting outlier and poor quality medical images with an ensemble-based deep learning system. 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Accelerating the Optimization of a Segmentation Ensemble using Image Pyramids. 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Face morphing using average face for subtle expression recognition. 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(2019) ISBN:9781728131405<div class="Book Publication long-list"> <div class="authors"> <div class="autype autype-1"> Szerkesztő: <span class="author-name" >Tomislav Petković </span> </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;30881392" target="_blank">2019 11th International Symposium on Image and Signal Processing and Analysis (ISPA)</a></div><div class="publish-data"> <span class="published-at"> Danvers (MA)</span>: <span class="publishers">Institute of Electrical and Electronics Engineers (IEEE)</span>, <span class="year">(2019)</span> </div> <span class="volume"> <span class="volumeTitle"></span> </span> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Nyelv: Angol | </span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <span class="isbnOrIssn"> ISBN: </span> <a style="color:black" title="9781728131405" target="_blank" href="https://www.worldcat.org/search?q=isbn%3A9781728131405"> 9781728131405 </a> </span> </span> <div class="mtid"><span class="long-pub-mtid">Közlemény: 30881392</span> | <span class="status-data status-APPROVED"> Nyilvános </span> | <span class="type-subtype">Könyv ( Konferenciakötet ) </span> | <span class="pub-category">Tudományos</span> | <span class="publication-sourceOfData">Scopus</span> </div> <div class="lastModified">Utolsó módosítás: 2023.09.06. 11:17 Aggod Zsuzsa (MTMT 2-3, admin) </div> <div class="chapters"> <b><a target="_blank" href="/api/publication?from=BookChapter&cond=book.mtid;eq;30881392">Fejezetek: 15</a></b> </div> </div></div>