Enhancing Classification in UTD-MHAD Dataset: Utilizing Recurrent Neural Networks in Ensemble-Based Approach for Human Action Recognition.
Saketh KilaruAnushka ShahSwoichha AdhikariPublished in: BigMM (2023)
Keyphrases
- recurrent neural networks
- neural network
- benchmark datasets
- machine learning
- classification accuracy
- feature extraction
- training set
- ensemble methods
- recurrent networks
- feed forward
- cascade correlation
- classification models
- image classification
- echo state networks
- final classification
- majority voting
- reservoir computing
- feature selection
- decision trees
- feature set
- classifier ensemble
- ensemble classifier
- data mining
- support vector
- complex valued
- artificial neural networks
- feature vectors
- machine learning methods
- training samples
- fold cross validation
- feature space
- multi class
- short term
- decision making
- class labels
- text classification