Can Learning Vector Quantization be an Alternative to SVM and Deep Learning? - Recent Trends and Advanced Variants of Learning Vector Quantization for Classification Learning.
Thomas VillmannAndrea BohnsackMarika KadenPublished in: J. Artif. Intell. Soft Comput. Res. (2017)
Keyphrases
- learning vector quantization
- deep learning
- self organizing maps
- neural network
- unsupervised learning
- learning process
- learning algorithm
- machine learning
- support vector
- supervised learning
- deep architectures
- unsupervised feature learning
- online learning
- recent trends
- pattern recognition
- feature space
- feature vectors
- image classification
- bayesian networks
- training data
- clustering algorithm
- image and video processing
- feature selection