期刊
FOUNDATIONS OF COMPUTATIONAL MATHEMATICS
卷 10, 期 1, 页码 67-91出版社
SPRINGER
DOI: 10.1007/s10208-009-9049-1
关键词
Unsupervised learning; Computer vision; Kernels
资金
- Div Of Information & Intelligent Systems
- Direct For Computer & Info Scie & Enginr [0827483] Funding Source: National Science Foundation
We propose a natural image representation, the neural response, motivated by the neuroscience of the visual cortex. The inner product defined by the neural response leads to a similarity measure between functions which we call the derived kernel. Based on a hierarchical architecture, we give a recursive definition of the neural response and associated derived kernel. The derived kernel can be used in a variety of application domains such as classification of images, strings of text and genomics data.
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