Geometry-Aware Neighborhood Search for Learning Local Models for Image Reconstruction

6 May 2015Julio Cesar FerreiraElif VuralChristine Guillemot

Local learning of sparse image models has proven to be very effective to solve inverse problems in many computer vision applications. To learn such models, the data samples are often clustered using the K-means algorithm with the Euclidean distance as a dissimilarity metric... (read more)

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