Cargando…
Developments in Image Processing Using Deep Learning and Reinforcement Learning
The growth in the volume of data generated, consumed, and stored, which is estimated to exceed 180 zettabytes in 2025, represents a major challenge both for organizations and for society in general. In addition to being larger, datasets are increasingly complex, bringing new theoretical and computat...
Autores principales: | Valente, Jorge, António, João, Mora, Carlos, Jardim, Sandra |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10607786/ https://www.ncbi.nlm.nih.gov/pubmed/37888314 http://dx.doi.org/10.3390/jimaging9100207 |
Ejemplares similares
-
A Novel Trademark Image Retrieval System Based on Multi-Feature Extraction and Deep Networks
por: Jardim, Sandra, et al.
Publicado: (2022) -
Learning for a Robot: Deep Reinforcement Learning, Imitation Learning, Transfer Learning
por: Hua, Jiang, et al.
Publicado: (2021) -
Application of Reinforcement Learning and Deep Learning in Multiple-Input and Multiple-Output (MIMO) Systems
por: Naeem, Muddasar, et al.
Publicado: (2021) -
Learn to Steer through Deep Reinforcement Learning
por: Wu, Keyu, et al.
Publicado: (2018) -
Learning Macromanagement in Starcraft by Deep Reinforcement Learning
por: Huang, Wenzhen, et al.
Publicado: (2021)