Information-Theoretic Dictionary Learning for Image Classification
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mengyang1983 的文献笔记 订阅 |
http://yunpan.cn/cyLH4FfeZwQUB 提取码 5f42 1. In the first stage, dictionary atoms are selected from an initial dictionary by maximizing the mutual information measure on dictionary compactness, discrimination and reconstruction。 2. we propose a general method for learning dictionaries for image classification tasks via information maximization |
maximum-entropy-discriminationLearning Discriminative and Shareable Features
for Scene ClassificationUnsupervised feature learning by deep sparse codingLearning Euclidean-to-Riemannian Metric for Point-to-Set ClassificationLow-rank Matrix Recovery via Iteratively Reweighted Least Squares Minimization
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