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» Estimating Vision Parameters given Data with Covariances
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NIPS
2004
14 years 11 months ago
Sampling Methods for Unsupervised Learning
We present an algorithm to overcome the local maxima problem in estimating the parameters of mixture models. It combines existing approaches from both EM and a robust fitting algo...
Robert Fergus, Andrew Zisserman, Pietro Perona
CVPR
2011
IEEE
14 years 1 months ago
Global Optimization for Optimal Generalized Procrustes Analysis
This paper deals with generalized procrustes analysis. This is the problem of registering a set of shape data by estimating a reference shape and a set of rigid transformations gi...
Daniel Pizarro, Adrien Bartoli
ICDIM
2007
IEEE
14 years 11 months ago
Predicting durability in DHTs using Markov chains
We consider the problem of data durability in lowbandwidth large-scale distributed storage systems. Given the limited bandwidth between replicas, these systems suffer from long re...
Fabio Picconi, Bruno Baynat, Pierre Sens
ICIAP
2005
ACM
15 years 10 months ago
3D Surface Reconstruction from Scattered Data Using Moving Least Square Method
This paper presents an efficient implementation of moving least square(MLS) approximation for 3D surface reconstruction. The smoothness of the MLS is mainly determined by the weigh...
Soon-Jeong Ahn, Jaechil Yoo, Byung-Gook Lee, Joon-...
TCBB
2010
176views more  TCBB 2010»
14 years 8 months ago
Feature Selection for Gene Expression Using Model-Based Entropy
—Gene expression data usually contain a large number of genes, but a small number of samples. Feature selection for gene expression data aims at finding a set of genes that best...
Shenghuo Zhu, Dingding Wang, Kai Yu, Tao Li, Yihon...