Singular Value Decomposition (SVD), together with the Expectation-Maximization (EM) procedure, can be used to find a low-dimension model that maximizes the loglikelihood of obser...
Sheng Zhang, Weihong Wang, James Ford, Fillia Make...
Abstract. This paper proposes a general approach named ExpectationMiniMax (EMM) for clustering analysis without knowing the cluster number. It describes the contrast function of Ex...
We study two apparently different, but formally similar, scheduling problems. The first problem involves contract algorithms, which can trade off run time for solution quality, a...
Daniel S. Bernstein, Lev Finkelstein, Shlomo Zilbe...
This paper describes an algorithm to implement image filtering and enhancement operations by processing adaptive triangular meshes that represent gray-level images. Experimental r...
Abstract: We show how an application of central importance to computational biochemistry can be implemented efficiently on an FPGA. This requires reformulating the algorithm and ta...