502 search results - page 45 / 101 » Principal Component Analysis for Sparse High-Dimensional Dat... |
ECCV
2002
Springer
14 years 10 months ago
2002
Springer
Principal ComponentAnalysis (PCA) has been successfully applied to construct linear models of shape, graylevel, and motion. In particular, PCA has been widely used to model the var...
CSDA
2006
13 years 8 months ago
2006
A new procedure for estimating the mean process of a doubly stochastic Poisson process is introduced. The proposed estimation is based on monotone piecewise cubic interpolation of...
ISBI
2004
IEEE
14 years 9 months ago
2004
IEEE
We propose a novel method for reconstructing a complete 3D model of a given anatomy from minimal information. This reconstruction provides an appropriate intra-operative 3D visual...
KDD
2001
ACM
14 years 9 months ago
2001
ACM
This paper introduces the application of data mining methods to the analysis and prediction of the typhoon. The testbed for this research is the typhoon image collection that we e...
AAAI
2012
11 years 11 months ago
2012
Probabilistic relational PCA (PRPCA) can learn a projection matrix to perform dimensionality reduction for relational data. However, the results learned by PRPCA lack interpretabi...