502 search results - page 81 / 101 » Principal Component Analysis for Sparse High-Dimensional Dat... |
CVPR
2006
IEEE
14 years 2 months ago
2006
IEEE
This paper presents a 3D approach for recognizing faces based on Principal Component Analysis (PCA). The approach addresses the issue of proper 3D face alignment required by PCA f...
GECCO
2003
Springer
14 years 1 months ago
2003
Springer
When using a Genetic Algorithm (GA) to optimize the feature space of pattern classification problems, the performance improvement is not only determined by the data set used, but a...
ISBI
2008
IEEE
14 years 9 months ago
2008
IEEE
Spatial patterns of activation statistics within anatomically-defined regions of interest (ROIs) in functional magnetic resonance imaging (fMRI) data were recently shown to be sen...
ICDM
2006
IEEE
14 years 2 months ago
2006
IEEE
Several spatio-temporal data collected in many applications, such as fMRI data in medical applications, can be represented as a Multivariate Time Series (MTS) matrix with m rows (...
ICIP
2005
IEEE
14 years 2 months ago
2005
IEEE
In this paper, we propose a novel technique for modelbased recognition of complex object motion trajectories using Hidden Markov Models (HMM). We build our models on Principal Com...