搜索结果: 1-6 共查到“Sparse coding”相关记录6条 . 查询时间(0.031 秒)
A two-layer sparse coding model learns simple and complex cell receptive fields and topography from natural images
Independent component analysis Natural images Neural networks Spatial vision
2015/8/10
The classical receptive fields of simple cells in the visual cortex have been shown to emerge from the statistical properties of natural images by forcing the cell responses to be maximally sparse, i....
Sparse coding for multitask and transfer learning
Sparse coding multitask transfer learning
2012/9/23
We present an extension of sparse coding to the problems of multitask and transfer learning. The central assumption of the method is that the tasks parameters are well approximated by sparse linear co...
Discriminative Sparse Coding on Multi-Manifold for Data Representation and Classification
Discriminative Sparse Coding Multi-Manifold for Data Representation Classification
2012/8/21
Sparse coding has been popularly used as an effective data represen-tation method in various applications, such as computer vision, medical imaging and bioinformatics, etc. However, the conventional s...
Introduction of the so called K-means features caused significant discussion in the deep learning community. Despite their simplicity, these features have achieved state of the art performance on seve...
Robust and Discriminative Image Authentication Based on Sparse Coding
authentication sparse coding robustness discrimination similarity
2011/7/24
Image authentication is usually approached by checking the preservation of some invariant features, which are expected to be both robust and discriminative so that contentpreserving operations are acc...
Closed-Form EM for Sparse Coding and Its Application to Source Separation
Closed-Form EM Sparse Coding Source Separation
2011/5/12
We define and discuss the first sparse coding algorithm based on closed-form EM
updates and continuous latent variables. The underlying generativemodel consists
of a flexibly parameterized ‘spike-an...