Understanding trainable sparse coding via matrix factorization

Arts & Humanities

• Kernel 60%
• Data Distribution 44%
• Dictionary 44%
• Neural Networks 30%
• Iteration 28%
• Proximal 27%
• Machine Learning 26%
• Experiment 15%

Social Sciences

• coding 89%
• dictionary 54%
• neural network 29%
• data analysis 19%
• experiment 14%
• learning 8%

Engineering & Materials Science

• Factorization 100%
• Glossaries 48%
• Pipelines 19%
• Machine learning 18%
• Neural networks 15%
• Experiments 8%