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Machine Learning meets Computational Photography

After the great success of last year's workshop on CP at NIPS, this workshop proposal tries to accommodate the strong interest in a follow-up workshop expressed by many workshop participants last year. The objectives of this workshop are: (i) to give an introduction to CP, present current approaches and report about the latest developments in this fast-progressing field, (ii) spot and discuss current limitations and present open problems of CP to the NIPS community, and (iii) to encourage scientific exchange and foster interaction between researchers from machine learning, neuro science and CP to advance the state of the art in CP.

The tight interplay between both hardware and software renders CP an exciting field of research for the whole NIPS community, which could contribute in various ways to its advancement, be it by enabling new imaging devices that are possible due to the latest machine learning methods or by new camera and processing designs that are inspired by our neurological understanding of natural visual systems.

Thus the target group of participants are researchers from the whole NIPS community (machine learning and neuro science) and researchers working on CP and related fields.

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