The Rectified Gaussian Distribution

Socci, Nicholas D., Lee, Daniel D., Seung, H. Sebastian

Neural Information Processing Systems 

The variables of the rectified Gaussian are constrained to be nonnegative, enabling the use of nonconvex energy functions.Two multimodal examples, the competitive and cooperative distributions, illustrate the representational power of the rectified Gaussian. Since the cooperative distribution can represent thetranslations of a pattern, it demonstrates the potential of the rectified Gaussian for modeling pattern manifolds.

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