IEEE - Institute of Electrical and Electronics Engineers, Inc. - Deep Learned vs. Hand-Crafted Features for Action Classification

2018 IEEE First International Conference on Artificial Intelligence and Knowledge Engineering (AIKE)

Author(s): Pablo Andres Millan Arias ; Julian Armando Quiroga Sepulveda
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 September 2018
Conference Location: Laguna Hills, CA, USA, USA
Conference Date: 26 September 2018
Page(s): 170 - 171
ISBN (Electronic): 978-1-5386-9555-5
DOI: 10.1109/AIKE.2018.00039
Regular:

The purpose of this study is to determine if the advantage of the deep learned features over the hand-crafted ones, that is evidenced in the state of the art, is still maintained for actions that... View More

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