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IJCNN
2007
IEEE
15 years 10 months ago
Optimizing 0/1 Loss for Perceptrons by Random Coordinate Descent
—The 0/1 loss is an important cost function for perceptrons. Nevertheless it cannot be easily minimized by most existing perceptron learning algorithms. In this paper, we propose...
Ling Li, Hsuan-Tien Lin
ISVC
2010
Springer
15 years 2 months ago
Robust Rigid Shape Registration Method Using a Level Set Formulation
Abstract. This paper presents a fast algorithm for robust registration of shapes implicitly represented by signed distance functions(SDF). The proposed algorithm aims to recover th...
Muayed S. Al-Huseiny, Sasan Mahmoodi, Mark S. Nixo...
151
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AUTOMATICA
2011
14 years 11 months ago
Distributed averaging on digital erasure networks
Iterative distributed algorithms are studied for computing arithmetic averages over networks of agents connected through memoryless broadcast erasure channels. These algorithms do...
Ruggero Carli, Giacomo Como, Paolo Frasca, Federic...
ANTS
1998
Springer
135views Algorithms» more  ANTS 1998»
15 years 8 months ago
Fast Multiprecision Evaluation of Series of Rational Numbers
We describe two techniques for fast multiple-precision evaluation of linearly convergent series, including power series and Ramanujan series. The computation time for N bits is O(...
Bruno Haible, Thomas Papanikolaou
NIPS
2003
15 years 5 months ago
Approximate Expectation Maximization
We discuss the integration of the expectation-maximization (EM) algorithm for maximum likelihood learning of Bayesian networks with belief propagation algorithms for approximate i...
Tom Heskes, Onno Zoeter, Wim Wiegerinck