Sparsity-Regularized HMAX for Visual Recognition
About ten years ago, HMAX was proposed as a simple and biologically feasible model for object recognition, based on how the visual cortex processes information. However, the model does not encompass sparse firing, which is a hallmark of neurons at all stages of the visual pathway. The current paper...
| Main Authors: | , , , |
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| Format: | Online |
| Language: | English |
| Published: |
Public Library of Science
2014
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3879257/ |