December 2012 Embedded Vision Alliance Member Summit Keynote: Professor Kristen Grauman, UT Austin
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Professor Kristen Grauman of the University of Texas at Austin presents the keynote on machine learning at the December 2012 Embedded Vision Alliance Member Summit. Grauman is a rising star in computer vision research. Among other distinctions, she was recently recognized with a Regents' Outstanding Teaching Award and, along with Devi Parikh, received the prestigious Marr Prize for the paper "Relative Attributes," presented at the 2011 International Conference on Computer Vision.
Machine learning is a type of artificial intelligence that provides systems with the ability to learn without being explicitly programmed. Machine learning focuses on the development of programs that can teach themselves to grow and change when exposed to new data. Machine learning is an essential...