Many image denoising methods can be characterized as minimizing "loss + penalty," where the "loss" measures the fidelity of the denoised image to the data, and ...
We propose a model for deterministic distributed function computation by a network of identical and anonymous nodes. In this model, each node has bounded computation and storage c...
Julien M. Hendrickx, Alexander Olshevsky, John N. ...
We give an algorithm that computes the final state of certain growth models without computing all intermediate states. Our technique is based on a "least action principle"...
Abstract. Ariola and Felleisen's call-by-need -calculus replaces a variable occurrence with its value at the last possible moment. To support this gradual notion of substituti...
Kernel Principal Component Analysis extends linear PCA from a Euclidean space to any reproducing kernel Hilbert space. Robustness issues for Kernel PCA are studied. The sensitivit...