2018
Image Recognition Based on Separable Lattice Hmms Using a Deep Neural Network for Output Probability Distributions
ICASSP 2018accepted
This paper proposes an image recognition method based on separable lattice hidden Markov models (SLHMMs) using a deep neural network (DNN) for output probability distributions. The geometric variations of the object to be recognized, e.g., size and location, are essential in image recognition. SLHMM…