Compact Bilinear Deep Features For Environmental Sound Recognition

Keyphrases

• Bilinear 100%
• Environmental Sound Classification 100%
• Higher-order Statistics 40%
• Support Vector Machine 20%
• Feature Extraction 20%
• Publicly Available 20%
• Machine Learning Techniques 20%
• Recognition Method 20%
• ImageNet 20%
• Classification Task 20%
• Signal Processing 20%
• State-of-the-art Techniques 20%
• Deep Convolutional Neural Network (deep CNN) 20%
• Spectral Representation 20%
• Civil Applications 20%
• Military Applications 20%
• Signal Machine 20%
• Environmental Sounds 20%
• Deep Feature Extraction 20%
• Recognition Classification 20%
• Compact Bilinear Pooling 20%
• Deep Spectrum 20%
• ESC-50 20%
• Homogeneous Mappings 20%
• Maclaurin 20%
• Bilinear Feature 20%
• ESC-10 20%
• Sound Dataset 20%
• Higher Order Derivation 20%

Engineering

• Feature Extraction 100%
• Higher-Order Statistics 100%
• Environmental Stress Cracking 100%
• State-of-the-Art Method 50%
• Classification Task 50%
• Military Applications 50%
• Machine Learning Method 50%
• Convolutional Neural Network 50%
• Support Vector Machine 50%

Computer Science

• Deep Feature 100%
• Higher-Order Statistics 100%
• Feature Extraction 100%
• Deep Convolutional Neural Networks 50%
• Classification Task 50%
• Support Vector Machine 50%
• Classification Stage 50%
• Machine Learning 50%
• Learning System 50%