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ECCV
2002
Springer
14 years 8 months ago
A Stochastic Algorithm for 3D Scene Segmentation and Reconstruction
In this paper, we present a stochastic algorithm by effective Markov chain Monte Carlo (MCMC) for segmenting and reconstructing 3D scenes. The objective is to segment a range image...
Feng Han, Zhuowen Tu, Song Chun Zhu
DAC
2007
ACM
14 years 7 months ago
PV-PPV: Parameter Variability Aware, Automatically Extracted, Nonlinear Time-Shifted Oscillator Macromodels
Abstract-- The PPV is a robust phase domain macromodel for oscillators. It has been proven to predict oscillators' responses correctly under small signal perturbations, and ca...
Zhichun Wang, Xiaolue Lai, Jaijeet S. Roychowdhury
MMAS
2010
Springer
13 years 1 months ago
A Novel Method for Solving Multiscale Elliptic Problems with Randomly Perturbed Data
We propose a method for efficient solution of elliptic problems with multiscale features and randomly perturbed coefficients. We use the multiscale finite element method (MsFEM) as...
Victor Ginting, Axel Målqvist, Michael Presh...
ML
2000
ACM
103views Machine Learning» more  ML 2000»
13 years 6 months ago
Phase Transitions in Relational Learning
One of the major limitations of relational learning is due to the complexity of verifying hypotheses on examples. In this paper we investigate this task in light of recent publishe...
Attilio Giordana, Lorenza Saitta
BMCBI
2010
131views more  BMCBI 2010»
13 years 6 months ago
A comparison of approximation techniques for variance-based sensitivity analysis of biochemical reaction systems
Background: Sensitivity analysis is an indispensable tool for the analysis of complex systems. In a recent paper, we have introduced a thermodynamically consistent variance-based ...
Hong-Xuan Zhang, John Goutsias