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» A Note on Principal Point Estimability
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SIBGRAPI
2006
IEEE
13 years 11 months ago
Curvature-driven Modeling and Rendering of Point-Based Surfaces
In this work we address the problem of computing pointbased surface approximations from point clouds. Our approach is based on recently presented methods that define the approxim...
Joao Paulo Gois, Eduardo Tejada, Tiago Etiene, Lui...
COMPGEOM
2009
ACM
14 years 4 days ago
Integral estimation from point cloud in d-dimensional space: a geometric view
Integration over a domain, such as a Euclidean space or a Riemannian manifold, is a fundamental problem across scientific fields. Many times, the underlying domain is only acces...
Chuanjiang Luo, Jian Sun, Yusu Wang
CVPR
2003
IEEE
14 years 7 months ago
Generalized Principal Component Analysis (GPCA)
This paper presents an algebro-geometric solution to the problem of segmenting an unknown number of subspaces of unknown and varying dimensions from sample data points. We represen...
René Vidal, Shankar Sastry, Yi Ma
AAAI
2004
13 years 7 months ago
Bayesian Inference on Principal Component Analysis Using Reversible Jump Markov Chain Monte Carlo
Based on the probabilistic reformulation of principal component analysis (PCA), we consider the problem of determining the number of principal components as a model selection prob...
Zhihua Zhang, Kap Luk Chan, James T. Kwok, Dit-Yan...
CSDA
2007
136views more  CSDA 2007»
13 years 5 months ago
A note on iterative marginal optimization: a simple algorithm for maximum rank correlation estimation
The maximum rank correlation (MRC) estimator was originally studied by Han [1987. Nonparametric analysis of a generalized regression model. J. Econometrics 35, 303–316] and Sher...
Hansheng Wang