Mathematics of the neural response
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal
Related Research Unit(s)
|Journal / Publication||Foundations of Computational Mathematics|
|Publication status||Published - Jan 2010|
|Link to Scopus||https://www.scopus.com/record/display.uri?eid=2-s2.0-75849157565&origin=recordpage|
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. © SFoCM 2009.
- Computer vision, Kernels, Unsupervised learning