In this paper, we put forward a novel sparse coding model based on structural similarity (SS_SC) for natural image feature extraction. The advantage for our ...
Image Classification Using Structural Sparse Coding Model. Zhiqing Li1,2,3 ... In this paper, we put forward a novel sparse coding model based on structural.
Data-driven sparse models have been shown to give superior per- formance for image classification tasks. Most of these works de-.
In this paper, we put forward a novel sparse coding model based on structural similarity (SS_SC) for natural image feature extraction. The advantage for our ...
In 2009, [40] introduced sparse representation algorithm for learning dictionary and coding images based on SPM, resulting in state-of-the-art performance in ...
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Feb 8, 2019 · This method uses spatial pyramid to divide the image into spatial layers and local regions to obtain the spatial relationship between the local ...
The method treats an image as a collection of unordered appearance descriptors extracted from local patches, quantizes them into discrete “visual words”, and ...
To address the image classification problem, in this paper we propose a discriminative sparse coding approach, in which a representation matrix is first ...
convolutional sparse coding model applied to natural images with- out any ... using sparse coding for image classification. In Proceedings of the IEEE.
Feb 1, 2019 · This paper presents a novel image classification framework (referred to as LR-GSC) by leveraging the low-rank, sparse matrix decomposition and ...