Putting nonnegative matrix factorization to the test: A tutorial derivation of pertinent Cramer? Rao bounds and performance benchmarking

Mathematics

• Non-negative Matrix Factorization 100%
• Benchmarking 94%
• Performance 39%
• Fisher Information Matrix 11%
• Computer Vision 11%
• Factor Analysis 11%
• Ambiguity 10%
• Machine Learning 10%
• Symmetric matrix 9%
• Scenarios 8%
• Optimality 8%
• NP-complete problem 7%
• Approximate Solution 7%
• Non-negative 6%
• Lower bound 6%
• Range of data 5%
• Estimate 4%
• Model 3%

Engineering & Materials Science

• Benchmarking 69%
• Factorization 66%
• Fisher information matrix 13%
• Factor analysis 10%
• NP-hard 9%
• Machine learning 6%