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TNN
2008
82views more  TNN 2008»
13 years 9 months ago
Deterministic Learning for Maximum-Likelihood Estimation Through Neural Networks
In this paper, a general method for the numerical solution of maximum-likelihood estimation (MLE) problems is presented; it adopts the deterministic learning (DL) approach to find ...
Cristiano Cervellera, Danilo Macciò, Marco ...
VC
2010
135views more  VC 2010»
13 years 7 months ago
Real-time single scattering inside inhomogeneous materials
In this paper we propose a novel technique to perform real-time rendering of translucent inhomogeneous materials, one of the most well known problems of Computer Graphics. The deve...
D. Bernabei, Fabio Ganovelli, Nico Pietroni, Paolo...
CORR
2010
Springer
145views Education» more  CORR 2010»
13 years 6 months ago
Orthogonal symmetric Toeplitz matrices for compressed sensing: Statistical isometry property
Recently, the statistical restricted isometry property (RIP) has been formulated to analyze the performance of deterministic sampling matrices for compressed sensing. In this paper...
Kezhi Li, Lu Gan, Cong Ling
ACCV
2010
Springer
13 years 4 months ago
Phase Registration of a Single Quasi-Periodic Signal Using Self Dynamic Time Warping
Abstract. This paper proposes a method for phase registration of a single non-parametric quasi-periodic signal. After a short-term period has been detected for each sample by norma...
Yasushi Makihara, Trung Ngo Thanh, Hajime Nagahara...
MANSCI
2011
13 years 4 months ago
Generating Ambiguity in the Laboratory
This article develops a method for drawing samples from which it is impossible to infer any quantile or moment of the underlying distribution. The method provides researchers with...
Jack Stecher, Timothy Shields, John Dickhaut