Pattern Recognition Applications and Methods 7th International Conference, ICPRAM 2018, Funchal, Madeira, Portugal, January 16-18, 2018, Revised Selected Papers / [electronic resource] :
edited by Maria De Marsico, Gabriella Sanniti di Baja, Ana Fred.
- 1st ed. 2019.
- XVI, 203 p. 151 illus., 92 illus. in color. online resource.
- Image Processing, Computer Vision, Pattern Recognition, and Graphics, 11351 3004-9954 ; .
- Image Processing, Computer Vision, Pattern Recognition, and Graphics, 11351 .
Theory and Methods -- Applications -- Pattern Recognition -- Bayesian Models -- Gaussian Processes -- Neural Networks -- Web Applications Image-Based Modelling.
This book contains revised and extended versions of selected papers from the 7th International Conference on Pattern Recognition, ICPRAM 2018, held in Porto, Portugal, in January 2018. The 10 full papers presented were carefully reviewed and selected from 102 initial submissions. The core of ICPRAM is intended to include theoretical studies yielding new insights in Pattern Recognition methods, as well as experimental validation and concrete application of Pattern Recognition techniques to real-world problems.
9783030054991
10.1007/978-3-030-05499-1 doi
Pattern recognition systems.
Computer vision.
Machine learning.
Automated Pattern Recognition.
Computer Vision.
Machine Learning.
Q337.5 TK7882.P3
006.4
Theory and Methods -- Applications -- Pattern Recognition -- Bayesian Models -- Gaussian Processes -- Neural Networks -- Web Applications Image-Based Modelling.
This book contains revised and extended versions of selected papers from the 7th International Conference on Pattern Recognition, ICPRAM 2018, held in Porto, Portugal, in January 2018. The 10 full papers presented were carefully reviewed and selected from 102 initial submissions. The core of ICPRAM is intended to include theoretical studies yielding new insights in Pattern Recognition methods, as well as experimental validation and concrete application of Pattern Recognition techniques to real-world problems.
9783030054991
10.1007/978-3-030-05499-1 doi
Pattern recognition systems.
Computer vision.
Machine learning.
Automated Pattern Recognition.
Computer Vision.
Machine Learning.
Q337.5 TK7882.P3
006.4