Unsupervised learning of invariant feature hierarchies with applications to object recognition

Keyphrases

• Unsupervised Learning 100%
• Feature Hierarchy 100%
• Output Filter 50%
• Supervised Classifier 50%
• Plague 50%
• Unsupervised Method 50%
• Training Procedure 50%
• Average Recognition Rate 50%
• Feature Pooling 50%
• Small Distortion 50%
• Sparse Feature 50%
• Small Shift 50%
• Unsupervised Training 50%
• Caltech101 50%
• Pooling Layer 50%
• Learning Procedure 50%
• Multiple Convolution 50%

Computer Science

• Training Sample 100%
• Recognition Rate 50%
• Multiple Convolution 50%
• Unsupervised Method 50%

Chemical Engineering

• Unsupervised Learning 100%