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Prior work has shown that features which appear to be biologically plausible as well as empirically useful can be found by sparse coding with a prior such as a Laplacian (L1 ) that promotes sparsity. We show how smoother priors can preserve the benefits of these sparse priors while adding stability ...

An important challenge in outdoor mobile robotic perception is maintaining terrain classification performance throughout the extremely variable conditions that we may wish a robot to operate under. Outdoor robots operate in a series of “environments” that consist of diverse terrain, vegetation, we ...