Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  are interested in learning an adaptive local metric on a lor dimensional manifold for query--based operations. combine the concept underlying manifold learning algorithms and the minimum volume ellipsoid metric to find the nearest neighbouring points to a query point on the manifold on which the query point is lying. Extensive experiments on various standard benchmark data sets in the context of classification shod very promising results when compared to state of the art metric learning algorithms.
['Karim T. Abou-Moustafa', 'Frank P. Ferrie']
I am writing a research paper on a idea Regularized Minimum Volume Ellipsoid Metric for Query-Based Learning
[{"from": "human", "value": "I am writing a research paper on a idea Regularized Minimum Volume Ellipsoid Metric for Query-Based Learning"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  are interested in learning an adaptive local metric on a lor dimensional manifold for query--based operations. combine the concept underlying manifold learning algorithms and the minimum volume ellipsoid metric to find the nearest neighbouring points to a query point on the manifold on which the query point is lying. Extensive experiments on various standard benchmark data sets in the context of classification shod very promising results when compared to state of the art metric learning algorithms."}]