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Image recognition system based on cascading overcomplete dictionary

机译:基于级联超完备字典的图像识别系统

摘要

Certain embodiments of the present disclosure relate to a technique for image reconstruction that employs cascaded over-complete dictionaries (i.e., collections of bases) for extracting features and building representations for images at different reconstruction levels. Each dictionary on a different reconstruction level can be learned and optimized for the purpose of capturing either generic or discriminative features. By finding sparse representations through the cascaded dictionaries, an image can be reconstructed and recognized.
机译:本公开的某些实施例涉及用于图像重建的技术,该技术采用级联的超完备字典(即,碱基的集合)来提取特征并建立不同重建级别的图像的表示。可以学习和优化处于不同重构级别的每个词典,以捕获通用或区分性特征。通过级联字典找到稀疏表示,可以重建和识别图像。

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