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ECCV
2010
Springer
13 years 7 months ago
A Novel Parameter Estimation Algorithm for the Multivariate t-Distribution and Its Application to Computer
Abstract. We present a novel algorithm for approximating the parameters of a multivariate t-distribution. At the expense of a slightly decreased accuracy in the estimates, the prop...
ICMLA
2009
13 years 2 months ago
ECON: A Kernel Basis Pursuit Algorithm with Automatic Feature Parameter Tuning, and its Application to Photometric Solids Approx
This paper introduces a new algorithm, namely the EquiCorrelation Network (ECON), to perform supervised classification, and regression. ECON is a kernelized LARS-like algorithm, b...
Manuel Loth, Philippe Preux, Samuel Delepoulle, Ch...
AUTOMATICA
2005
137views more  AUTOMATICA 2005»
13 years 4 months ago
Multivariable frequency-response curve fitting with application to modal parameter estimation
This paper presents a computational approach for the frequency-domain identification of multivariable, discrete-time transfer function models based on a cost function minimization...
P. Verboven, P. Guillaume, B. Cauberghe
DATE
2009
IEEE
167views Hardware» more  DATE 2009»
13 years 11 months ago
Analyzing the impact of process variations on parametric measurements: Novel models and applications
Abstract—In this paper we propose a novel statistical framework to model the impact of process variations on semiconductor circuits through the use of process sensitive test stru...
Sherief Reda, Sani R. Nassif
PAMI
2010
417views more  PAMI 2010»
13 years 2 months ago
Auto-Context and Its Application to High-Level Vision Tasks and 3D Brain Image Segmentation
The notion of using context information for solving high-level vision and medical image segmentation problems has been increasingly realized in the field. However, how to learn a...
Zhuowen Tu, Xiang Bai