Machine Learning and Visual Perception

Baochang Zhang, Ce Li, Nana Lin

ISBN 10: 3110595532 / ISBN 13: 9783110595536

Editore: De Gruyter, DE, 2020

Riguardo questo articolo

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.

Codice articolo LU-9783110595536

Dati bibliografici

• Titolo: Machine Learning and Visual Perception
• Editore: De Gruyter, DE
• Data di pubblicazione: 2020
• Lingua: Inglese
• ISBN 10: 3110595532
• ISBN 13: 9783110595536
• Rilegatura: Paperback
• Condizione: New
• Peso: 270 grammi

Descrizione articolo

Riassunto

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.

Informazioni sull?autore

Baochang Zhang, Beihang University, Beijing, China