502 search results - page 76 / 101 » Principal Component Analysis for Sparse High-Dimensional Dat... |
VISUALIZATION
1999
IEEE
15 years 1 months ago
1999
IEEE
We present a method for the hierarchical representation of vector fields. Our approach is based on iterative refinement using clustering and principal component analysis. The inpu...
CGI
2004
IEEE
15 years 1 months ago
2004
IEEE
Creating long animation sequences with non-trivial repetitions is a time consuming and often difficult task. This is true for 2D images and even more true for 3D sequences. Based ...
FLAIRS
2010
14 years 12 months ago
2010
In this paper, we propose the application of standard decomposition approaches to find local correlations in multimodal data. In a test scenario, we apply these methods to correla...
BMVC
2000
14 years 11 months ago
2000
We propose a novel hierarchical model of human dynamics for view independent tracking of the human body in monocular video sequences. The model is trained using real data from a c...
78
Voted
AUTOMATICA
2006
14 years 9 months ago
2006
It is known that many subspace algorithms give biased estimates for closed-loop data due to the existence of feedback. In this paper we present a new subspace identification metho...