Andrii is a graduate student at Kharkov National University of Radioelectronics since 2015. His experience covers the development of the geographic information systems, image processing, GPU distributed computing, processing of 3D scanning data. He is in programming since 2002, interested in data science since 2010, and more than ten years in the teaching. Andrii cooperates with companies on contract basis for tasks solutions of image and video processing, GIS and the optimization of computing with GPU CUDA. The sphere of interests includes methods of Fuzzy Approximation, Deep Learning and prediction of sociological data.
Topic: Point cloud labeling using machine learning
Short Description: The presentation is devoted to using machine learning for the labeling of data presented as a cloud of points. We’ll discuss the process from data acquisition to the data labeling. The solution of the problem will be implemented using three-dimensional artificial CNN.