Table 3 Reference table for vector-based pattern classification techniques

  [9, 55, 66, 67, 89]

Multi-layer perceptron

  [24–26, 37–39, 88, 112, 119]

Support vector machines

  [13–16, 26, 29, 43, 75, 85, 103, 104, 115]

Non-negative matrix factorization

  [73]

Deep-belief networks

  [48]

Probabilistic latent variable analysis

  [1, 19, 61, 116]

Non-negative matrix factorization with sparsity constrain

  [4, 11, 56]

Shift-invariant factorization

  [74]

Non-negative least mean squares

  [22, 41, 58, 105, 111]

Bayesian decision system

  [37, 53, 93, 96, 98, 101]

Hidden Markov models

  [68]

Blackboard system

  [28, 76]

Matching pursuit

  [94, 95]

Genetic algorithm