Investigation of Deep Neural Network Compression Based on Tucker Decomposition for the Classification of Lesions in Cavity Oral.
Vitor B. L. FernandesAdriano Barbosa-SilvaDanilo Cesar PereiraSérgio V. CardosoPaulo Rogério de FariaAdriano M. LoyolaThaína A. A. TostaLeandro Alves NevesMarcelo Zanchetta do NascimentoPublished in: VISIGRAPP (3): VISAPP (2024)
Keyphrases
- neural network
- pattern recognition
- learning vector quantization
- classification algorithm
- classification accuracy
- classification method
- feature extraction
- support vector
- multi layer perceptron
- nearest neighbour
- support vector machine svm
- back propagation
- feature selection
- pattern classification
- class labels
- data compression
- supervised learning
- tensor decomposition
- artificial neural networks
- digital mammograms
- decision trees
- genetic algorithm
- decomposition method
- unsupervised learning
- computer aided detection
- kohonen self organizing map
- computer aided
- self organizing maps
- text classification
- image compression
- image classification
- support vector machine
- multiresolution
- feature space
- machine learning