Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  describe a model based on a Boltzmann machine with third-order connections that can learn how to accumulate information about a shape over several fixations. The model uses a retina that only has enough high resolution pixels to cover a small area of the image, so it must decide on a sequence of fixations and it must combine the "glimpse" at each fixation with the location of the fixation before integrating the information with information from other glimpses of the same object.  evaluate this model on a synthetic dataset and two image classification datasets, showing that it can perform at least as ll as a model trained on whole images.
['Hugo Larochelle', 'Geoffrey E. Hinton']
I am writing a research paper on a idea Learning to combine foveal glimpses with a third-order Boltzmann machine
[{"from": "human", "value": "I am writing a research paper on a idea Learning to combine foveal glimpses with a third-order Boltzmann machine"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  describe a model based on a Boltzmann machine with third-order connections that can learn how to accumulate information about a shape over several fixations. The model uses a retina that only has enough high resolution pixels to cover a small area of the image, so it must decide on a sequence of fixations and it must combine the \"glimpse\" at each fixation with the location of the fixation before integrating the information with information from other glimpses of the same object.  evaluate this model on a synthetic dataset and two image classification datasets, showing that it can perform at least as ll as a model trained on whole images."}]