A robust non-parametric function fitting method is introduced. The estimate is motivated from the theory of M-estimation and of kernel estimation of regression functions. Consistency and asymptotic ...

Abstract: In this paper a non-parametric, direct estimation of camera response function is presented and evaluated in real and simulated data, using multiple images of an arbitrary scene acquired in ...

Abstract: Activation functions are pivotal in neural networks, determining the output of each neuron. Traditionally, functions like sigmoid and ReLU have been static and deterministic. However, the ...

Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 71, No. 1 (Jan., 2009), pp. 159-175 (17 pages) The paper proposes two Bayesian approaches to non-parametric monotone ...