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المؤلفون: Carlos Guindel, David Martin, Christoph Stiller, José María Armingol
المساهمون: Comunidad de Madrid
المصدر: ICVES
e-Archivo: Repositorio Institucional de la Universidad Carlos III de Madrid
Universidad Carlos III de Madrid (UC3M)
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instnameمصطلحات موضوعية: Object detection, Computer science, Feature extraction, 02 engineering and technology, 010501 environmental sciences, Machine learning, computer.software_genre, 01 natural sciences, Ingeniería Industrial, Set (abstract data type), 0202 electrical engineering, electronic engineering, information engineering, Training, Proposals, Relevance (information retrieval), 0105 earth and related environmental sciences, business.industry, Deep learning, Detector, Detectors, Pipeline (software), Task analysis, 020201 artificial intelligence & image processing, Artificial intelligence, Performance improvement, business, Estimation, computer
وصف الملف: application/pdf
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6af6e492c28b5fba37c6de8fe1e12782
https://doi.org/10.1109/icves.2018.8519510