Bioacoustics Signal Classification Using Hybrid Feature Space with Machine Learning.
Usman HaiderMuhammad HanifHill Hiroki KobayashiLaxmi Kumar ParajuliDaisuké ShimotokuAhmar RashidSonia SafeerPublished in: ICCAE (2023)
Keyphrases
- feature space
- machine learning
- feature selection
- high dimensional
- kernel methods
- support vector machine
- machine learning methods
- image representation
- mercer kernels
- input space
- computer vision
- pattern recognition
- feature set
- decision trees
- artificial intelligence
- mean shift
- explanation based learning
- machine learning algorithms
- data points
- dimensionality reduction
- training samples
- text mining
- data mining
- training set
- hybrid learning
- hyperplane
- inductive learning
- high dimensionality
- learning problems
- reinforcement learning
- information extraction
- learning systems
- feature vectors
- kernel function
- natural language processing
- classification accuracy
- model selection
- knowledge acquisition
- low dimensional
- active learning
- knowledge representation
- hybrid approaches
- high dimensional feature space
- principal component analysis
- learning algorithm
- knowledge discovery
- neural network
- image processing
- statistical methods
- data analysis
- transfer learning
- semi supervised learning