Dear Computer Vision and Machine Learning enthusiasts,
you can now self-assess your: a) current Computer Vision, Machine Learning, Autonomous Systems knowledge b) your background suitability of for related studies by spending little time (few minutes per topic) to fill the related questionnaires in: https://aiia.csd.auth.gr/cvml-knowledge-self-assessment/ You may want to repeat the exercise, before/after studying suitable e-coursework, e.g., the one in: http://icarus.csd.auth.gr/cvml-for-autonomous-systems/ The questionnaire list is attached and will be expanded soon to cover more topics. Sincerely yours Prof. I. Pitas Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab) Aristotle University of Thessaloniki, Greece Self-assessment topics Background knowledge (programming/maths) Computer vision Introduction in computer vision Image acquisition, camera geometry Stereo and Multiview imaging Structure from motion Localization and mapping Object tracking and 3D localization Machine Learning Introduction to Machine Learning Introduction to neural networks, Perceptron, Multilayer perceptron. Backpropagation Deep neural networks. Convolutional NNs Deep learning for object detection Autonomous Systems Introduction to autonomous systems Introduction to multiple drone imaging Drone mission planning and control CVML algorithms and programming CVML programming tools Fast convolution algorithms Post scriptum: To stay current on CVMl matters, you may want to register to the CVML email list, following instructions in https://lists.auth.gr/sympa/info/cvml
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