Fast calculation of correlations in recognition systems
  Computationally efficient classification system architecture is proposed. It utilizes fast tensor-vector multiplication algorithm to apply linear operators upon input signals . The approach is applicable to wide variety of recognition system architectures ranging from single stage matched filter bank classifiers to complex neural networks with unlimited number of hidden layers. 
Pavel Dourbal and Mikhail Pekker
cs.CV