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Eiji Ichikawa

1 accepted papers

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…

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