This paper proposed a novel image classification method by Laplacian affine sparse coding with tilt and orientation consistency.

A novel sparse coding method is proposed based on the integration of topological information in the encoding process by embedding the similarities between ...

Oct 22, 2024 · Recently, sparse coding has become popular for image classification. However, images are often captured under different conditions such as ...

Bibliographic details on Laplacian affine sparse coding with tilt and orientation consistency for image classification.

On the basis of advances in neuroscience, this paper proposes a sparse-based neural response feature extraction method for image classification. The approach ...

Laplacian affine sparse coding with tilt and orientation consistency for image classification. 786-793. view. electronic edition via DOI; unpaywalled version ...

... Laplacian affine sparse coding with tilt and orientation consistency for ... Image Representation, vol.23, pp.254-263, 2012. PDF. Xiaowei Zhao, Xiujuan ...

This work proposes a simple category-specific dictionary learning method tailored for reconstruction-based feature coding that can be used as a universal ...

Laplacian affine sparse coding with tilt and orientation consistency for image classification ... consistency of similar local features in sparse representation ...

... Laplacian affine sparse coding with tilt and orientation consistency for image classification. Journal of Visual Communication and Image Representation 24(7) ...