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Finding GEMS: Multi-Scale Dictionaries for High-Dimensional Graph Signals
Modern data introduces new challenges to classic signal processing approaches, leading to a growing interest in the field of graph signal processing.
Structure-Aware Classification using Supervised Dictionary Learning
In this paper, we propose a supervised dictionary learning algorithm that aims to preserve the local geometry in both dimensions of the data.
Depth Perception in Autostereograms: 1/f-Noise is Best
An autostereogram is a single image that encodes depth information that pops out when looking at it.
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