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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....
A Speech Act Calculus. A Pragmatised Natural Deduction Calculus and its Meta-theory
Speech Act Calculus Natural Deduction Logic Pragmatisation
2015/7/21
Building on the work of Peter Hinst and Geo Siegwart, we develop a pragmatised natural deduction calculus, i.e. a natural deduction calculus that incorporates illocutionary operators at the formal lev...
Improving Text Recognition in Images of Natural Scenes
Computer Vision Scene Text Text Recognition
2014/12/18
The area of scene text recognition focuses on the problem of recognizing arbitrary text in images of natural scenes. Examples of scene text include street signs, business signs, grocery item labels, a...
A GLOBAL “NATURAL” GRID MODELING METHOD BASED ON TERRAIN TOPOLOGICAL STRUCTURE
Natural GNG Topological Structure Morse Theory Representation
2014/4/21
In this paper, a Global “Natural” Grid (GNG) modeling method based on the terrain topological structure is proposed. GNG
partitions the earth surface into “natural” cells by using the natural terrain...