A Review on Machine Learning Styles in Computer Vision—Techniques and Future Directions
Symbiosis International University · Machine Intelligence Research Labs · +1 more institution
Abstract
Computer applications have considerably shifted from single data processing to machine learning in recent years due to the accessibility and availability of massive volumes of data obtained through the internet and various sources. Machine learning is automating human assistance by training an algorithm on relevant data. Supervised, Unsupervised, and Reinforcement Learning are the three fundamental categories of machine learning techniques. In this paper, we have discussed the different learning styles used in the field of Computer vision, Deep Learning, Neural networks, and machine learning. Some of the most recent applications of machine learning in computer vision include object identification, object…
Citation impact
- FWCI
- 34.68
- Percentile
- 100%
- References
- 119
Authors
7Topics & keywords
- Artificial intelligence
- Machine learning
- Computer science
- Robot learning
- Active learning (machine learning)
- Unsupervised learning
- Instance-based learning
- Learning classifier system