Machine Learning and Visual Perception provides an up-to-date overview on the topic, including the PAC model, decision tree, Bayesian learning, support vector machines, AdaBoost, compressive sensing and so on.Both classic and novel algorithms are introduced in classifier design, face recognition, deep learning, time series recognition, image classification, and object detection.
| ISBN: | 9783110595536 |
| Publication date: | 20th April 2020 |
| Author: | Baochang Zhang, Ce Li, Nana Lin |
| Publisher: | De Gruyter |
| Format: | Paperback |
| Pagination: | 152 pages |
| Series: | De Gruyter STEM |
| Genres: |
Artificial intelligence |
Machine Learning and Visual Perception provides an up-to-date overview on the topic, including the PAC model, decision tree, Bayesian learning, support vector machines, AdaBoost, compressive sensing and so on.Both classic and novel algorithms are introduced in classifier design, face recognition, deep learning, time series recognition, image classification, and object detection.
Machine Learning and Visual Perception features in the following genres: Algorithms and data structures, Databases, Data capture and analysis, Computer networking and communications, Artificial intelligence, Digital signal processing (DSP)
Paperback. Not Available.
Machine Learning and Visual Perception was written by Baochang Zhang, Ce Li, Nana Lin and published by De Gruyter
Machine Learning and Visual Perception has 152 pages
Yes it is part of De Gruyter STEM series