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Algorithms

Marco Jacobs of videantis delivers a business presentation at the May 2016 Embedded Vision Summit.

Academy

Jeff Bier of the Embedded Vision Alliance delivers the plenary session presentation at the May 2016 Embedded Vision Summit.

Academy

This chapter describes the performance of some common 3 x 3 convolution matrices using the fully optimized code.

Academy

Orazio Gallo of NVIDIA delivers a technical presentation at the May 2016 Embedded Vision Summit.

Academy

This chapter describes variations to the algorithm for 3 x 3 convolution matrices to create an algorithm for 5 x 5 convolution matrices.

Academy

Jeff Dean of Google delivers the Monday keynote presentation at the May 2016 Embedded Vision Summit.

Academy

The Embedded Vision Summit was held on May 2-4, 2016 in Santa Clara, California, as a educational forum for product creators.

Academy

This chapter describes describes some general concepts to consider when optimizing kernels.

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This chapter describes describes some useful optimization methods, the logic for them, and the results they provide on the test platform.

Academy

Song Han of Stanford delivers a presentation at the March 2016 Embedded Vision Alliance Member Meeting.

Academy