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Independent Component Analysis based on the CUDA utility library (cube)

License: MIT License

CMake 6.51% C 82.81% Objective-C 0.60% Fortran 1.36% Cuda 8.72%

cube's Introduction

cube

This CUDA based software package implements the Independent Component Analysis method described by Lee & Lewicki (2000) and was used in the paper by Kellner & Wachtler (2013).

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Lee, T.-W., and Lewicki, M. S. (2000). The generalized gaussian mixture model using ICA. in Int. workshop on ICA, (Helsinki), 239–244.

Kellner, C., & Wachtler, T. (2013). A distributed code for color in natural scenes derived from center-surround filtered cone signals. Frontiers in Psychology, Front Psychol 4: 661. doi: 10.3389/fpsyg.2013.00661

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