Estimation of multi-dimensional homeomorphisms for object recognition in noisy environments

Keyphrases

• Object Recognition 100%
• Homeomorphism 100%
• Noisy Environment 100%
• Nonlinear Operator 100%
• Euclidian Space 100%
• Maximum Likelihood Estimator 50%
• Equation Set 50%
• Signal-to-noise Ratio 50%
• Parametric Model 50%
• Ill-defined 50%
• Detection Problem 50%
• Problem Recognition 50%
• Least Squares Solution 50%
• Recognition-based 50%
• High-dimensional Problems 50%
• Linear Least-squares 50%
• Polynomial Composition 50%

Computer Science

• Linear Operator 100%
• Object Recognition 100%
• Noisy Environment 100%
• Dimensional Euclidian Space 100%
• Noise-to-Signal Ratio 50%
• maximum-likelihood 50%
• Least Squares Method 50%
• Recognition Problem 50%
• Parametric Model 50%
• Dimensional Problem 50%
• Square Solution 50%

Mathematics

• Homeomorphism 100%
• Non-Linear Operator 100%
• Maximum Likelihood Estimator 50%
• Polynomial 50%
• Dimensional Problem 50%
• Noise Ratio 50%
• Parametric Model 50%
• Square Solution 50%
• Linear Least Squares 50%