Cantitate/Preț
Produs
Total produse
Vezi coșul
Continual Semi-Supervised Learning: First International Workshop, CSSL 2021, Virtual Event, August 19–20, 2021, Revised Selected Papers de Fabio Cuzzolin

Continual Semi-Supervised Learning: First International Workshop, CSSL 2021, Virtual Event, August 19–20, 2021, Revised Selected Papers: Lecture Notes in Computer Science, cartea 13418

Editat de Fabio Cuzzolin, Kevin Cannons, Vincenzo Lomonaco
en Limba Engleză Paperback – 28 sep 2022
This book constitutes the proceedings of the First International Workshop on Continual Semi-Supervised Learning, CSSL 2021, which took place as a virtual event during August 2021.The 9 full papers and 0 short papers included in this book were carefully reviewed and selected from 14 submissions.

Citește tot Restrânge

Din seria Lecture Notes in Computer Science

Preț: 35393 lei

Preț vechi: 44242 lei
-20% Nou

Puncte Express: 531
Preț estimativ în valută:
6774€ • 7053$ • 5724£

Carte tipărită la comandă

Livrare economică 10-24 martie

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783031175862
ISBN-10: 3031175867
Pagini: 135
Ilustrații: XIII, 135 p. 47 illus., 43 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.23 kg
Ediția:1st ed. 2022
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence

Locul publicării:Cham, Switzerland

Cuprins

International Workshop on Continual Semi-Supervised Learning: Introduction, Benchmarks and Baselines.- Unsupervised Continual Learning Via Pseudo Labels.- Transfer and Continual Supervised Learning for Robotic Grasping through Grasping Features.- Unsupervised Continual Learning via Self-Adaptive Deep Clustering Approach.- Evaluating Continual Learning Algorithms by Generating 3D Virtual Environments.- A Benchmark and Empirical Analysis for Replay Methods in Continual Learning.- SPeCiaL: Self-Supervised Pretraining for Continual Learning.- Distilled Replay: Overcoming Forgetting through Synthetic Samples.- Self-supervised Novelty Detection for Continual Learning: A Gradient-based Approach Boosted by Binary Classification.