Online sparse learning utilizing multi-feature combination for image classification
@article{Zhang2011OnlineSL, title={Online sparse learning utilizing multi-feature combination for image classification}, author={L. Zhang and Kunyu Zhang and Xiaoli Dong}, journal={2011 18th IEEE International Conference on Image Processing}, year={2011}, pages={197-200}, url={https://api.semanticscholar.org/CorpusID:16960005} }
An online sparse learning algorithm, which utilizes the reconstruction error to update the current codebook, and outperforms offline learning with a single type of descriptors.
Topics
Spatial Pyramid Matching (opens in a new tab)Training Samples (opens in a new tab)Scale Invariant Feature Transform (opens in a new tab)Real-Time (opens in a new tab)Classification Accuracy (opens in a new tab)Image Representations (opens in a new tab)Descriptor (opens in a new tab)Reconstruction Error (opens in a new tab)Bag-of-features (opens in a new tab)
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