Tensor decompositions for learning latent variable models

Keyphrases

• Latent Variable Models 100%
• Tensor Decomposition 100%
• Singular Value Decomposition 33%
• Popular 33%
• Lower Order 33%
• Parameter Estimation 33%
• Hidden Markov Model 33%
• Singular Vectors 33%
• Structure Tensor 33%
• Symmetric Tensor 33%
• Perturbation Theorem 33%
• Third Order 33%
• Estimation Approaches 33%
• Orthogonal Decomposition 33%
• Tensor Structure 33%
• Gaussian Mixture Model 33%
• Latent Dirichlet Allocation 33%
• Parameter Estimation Method 33%
• Power Iteration 33%
• Power Maximization 33%
• Tensor Power Method 33%

Mathematics

• Tensor 100%
• Latent Variable Model 100%
• Tensor Decomposition 100%
• Matrix (Mathematics) 75%
• Parameter Estimation 50%
• Wide Class 25%
• Natural Generalization 25%
• Singular Value Decomposition 25%
• Singular Vector 25%
• Hidden Markov Model 25%
• Estimation Method 25%
• Estimation Approach 25%
• Power Method 25%
• Gaussian Mixture Model 25%

Engineering

• Latent Variable Model 100%
• Parameter Estimation 66%
• Singular Value Decomposition 33%
• Observables 33%
• Singular Vector 33%
• Maximization 33%
• Symmetric Tensor 33%
• Dirichlet 33%
• Gaussian Mixture Model 33%