Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Information theoretical measures, such as entropy, mutual information, and various divergences, exhibit robust characteristics in image registration applications. Hover, the estimation of these quantities is computationally intensive in high dimensions. On the other hand, consistent estimation from pairwise distances of the sample points is possible, which suits random projection (RP) based low dimensional embeddings.  adapt the RP technique to this task by means of a simple ensemble method. To the best of our knowledge, this is the first distributed, RP based information theoretical image registration approach. The efficiency of the method is demonstrated through numerical examples.
['Zoltán Szabó', 'András Lrincz']
I am writing a research paper on a idea Distributed high dimensional information theoretical image registration via random projections
[{"from": "human", "value": "I am writing a research paper on a idea Distributed high dimensional information theoretical image registration via random projections"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Information theoretical measures, such as entropy, mutual information, and various divergences, exhibit robust characteristics in image registration applications. Hover, the estimation of these quantities is computationally intensive in high dimensions. On the other hand, consistent estimation from pairwise distances of the sample points is possible, which suits random projection (RP) based low dimensional embeddings.  adapt the RP technique to this task by means of a simple ensemble method. To the best of our knowledge, this is the first distributed, RP based information theoretical image registration approach. The efficiency of the method is demonstrated through numerical examples."}]