Design and implication of a rule based weight sparsity module in HTM spatial pooler

Engineering

• Sparsity 100%
• Image Classification 40%
• Input Pixel 40%
• Recognition Problem 20%
• Feature Extraction 20%
• Recognition Accuracy 20%
• Face Image 20%
• Local Mean 20%
• Feature Vector 20%
• Image Recognition 20%
• Classification Problem 20%
• Neighboring Pixel 20%

Computer Science

• Sparsity 100%
• Image Classification 40%
• Feature Selection 20%
• Recognition Problem 20%
• Classification Problem 20%
• Feature Vector 20%
• Uniform Distribution 20%
• Recognition Accuracy 20%
• Deterministic Approach 20%
• Neighboring Pixel 20%

Keyphrases

• Weight Sparsity 100%
• Input Weights 25%
• Feature Sparsity 25%
• Pixel Features 25%
• Pixel Selection 25%