Overhead-MNIST: Machine Learning Baselines for Image Classification.
Erik LarsenDavid NoeverKorey MacVittieJohn LillyPublished in: CoRR (2021)
Keyphrases
- image classification
- machine learning
- bag of words
- image representation
- feature extraction
- machine learning algorithms
- learning algorithm
- machine learning methods
- data mining
- sparse representation
- model selection
- digit recognition
- handwritten digits
- machine learning approaches
- sparse coding
- knowledge acquisition
- image features
- computer vision
- pattern recognition
- learning tasks
- explanation based learning
- inductive learning
- visual features
- information extraction
- supervised machine learning
- multi label
- learning problems
- learning systems
- computational biology
- semi supervised learning
- real world
- communication overhead
- machine learning and data mining
- reinforcement learning
- knowledge representation
- supervised learning
- visual words
- object recognition
- data analysis
- active learning