Explainable and Interpretable Models in Computer Vision and Machine Learning /

This book compiles leading research on the development of explainable and interpretable machine learning methods in the context of computer vision and machine learning. Research progress in computer vision and pattern recognition has led to a variety of modeling techniques with almost human-like per...

Full description

Bibliographic Details

Corporate Author:	SpringerLink (Online service)
Other Authors:	Escalante, Hugo Jair (Editor), Escalera, Sergio (Editor), Guyon, Isabelle (Editor), Baro, Xavier (Editor), Gucluturk, Yagmur (Editor), Guclu, Umut (Editor), van Gerven, Marcel (Editor)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2018.
Series:	Springer series on challenges in machine learning.
Subjects:	Artificial intelligence. Computer vision. Optical pattern recognition. Artificial Intelligence. Image Processing and Computer Vision. Pattern Recognition. Electronic books.
Online Access:	Connect to the full text of this electronic book