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14 May 2017 Machine Learning, deep learning and optimization in computer vision
Stéphane Canu
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Proceedings Volume 10338, Thirteenth International Conference on Quality Control by Artificial Vision 2017; 103380N (2017) https://doi.org/10.1117/12.2277468
Event: The International Conference on Quality Control by Artificial Vision 2017, 2017, Tokyo, Japan
Abstract
As quoted in the Large Scale Computer Vision Systems NIPS workshop, computer vision is a mature field with a long tradition of research, but recent advances in machine learning, deep learning, representation learning and optimization have provided models with new capabilities to better understand visual content. The presentation will go through these new developments in machine learning covering basic motivations, ideas, models and optimization in deep learning for computer vision, identifying challenges and opportunities. It will focus on issues related with large scale learning that is: high dimensional features, large variety of visual classes, and large number of examples.
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Stéphane Canu "Machine Learning, deep learning and optimization in computer vision", Proc. SPIE 10338, Thirteenth International Conference on Quality Control by Artificial Vision 2017, 103380N (14 May 2017); https://doi.org/10.1117/12.2277468
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KEYWORDS
Machine learning
Machine vision
Computer vision technology
Computing systems
Optimization (mathematics)
Visual process modeling
Visualization
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