A Comparative Analysis of Machine Learning and Deep Learning Algorithms for Image Classification.
Mukesh MadananSaraswathy Shamini GunasekaranMoamin A. MahmoudPublished in: IC3I (2023)
Keyphrases
- machine learning
- image classification
- learning algorithm
- machine learning algorithms
- deep architectures
- learning problems
- learning tasks
- deep learning
- machine learning methods
- supervised learning
- active learning
- image representation
- bag of words
- transfer learning
- feature extraction
- knowledge representation
- image features
- sparse coding
- decision trees
- inductive bias
- sparse representation
- artificial intelligence
- data mining
- feature selection
- computer science
- pattern recognition
- deep belief networks
- learning paradigms
- reinforcement learning
- learning machines
- learning scheme
- learning models
- text classification
- data analysis
- information extraction
- text mining
- computational intelligence
- training examples
- computer vision
- knowledge acquisition
- support vector machine
- object recognition
- multi label
- inductive logic programming
- explanation based learning
- class specific
- training samples
- decision tree learning
- similarity measure