Bagging ensemble for deep learning based gender recognition using test-time augmentation on large-scale datasets.
Taner DanismanPublished in: Turkish J. Electr. Eng. Comput. Sci. (2021)
Keyphrases
- deep learning
- ensemble methods
- ensemble learning
- imbalanced data
- restricted boltzmann machine
- random forest
- machine learning
- random forests
- base classifiers
- benchmark datasets
- unsupervised learning
- ensemble members
- unsupervised feature learning
- training set
- decision trees
- ensemble classifier
- ensemble selection
- classifier ensemble
- mental models
- learning algorithm
- weakly supervised
- deep architectures
- reinforcement learning
- data sets
- object detection
- training data
- computer vision
- pairwise
- training samples
- supervised learning