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Found 5 papers, 1 papers with code
Supervised Deep Sparse Coding Networks
In this paper, we describe the deep sparse coding network (SCN), a novel deep network that encodes intermediate representations with nonnegative sparse coding.
Sparse Coding with Fast Image Alignment via Large Displacement Optical Flow
Sparse representation-based classifiers have shown outstanding accuracy and robustness in image classification tasks even with the presence of intense noise and occlusion.
Unsupervised domain adaption dictionary learning for visual recognition
However, when the data instances of a target domain have a different distribution than that of a source domain, the dictionary learning method may fail to perform well.
Task-Driven Dictionary Learning for Hyperspectral Image Classification with Structured Sparsity Constraints
We propose to enforce structured sparsity priors on the task-driven dictionary learning method in order to improve the performance of the hyperspectral classification.
Structured Priors for Sparse-Representation-Based Hyperspectral Image Classification
Pixel-wise classification, where each pixel is assigned to a predefined class, is one of the most important procedures in hyperspectral image (HSI) analysis.
