109 search results - page 2 / 22 » Dirichlet component analysis: feature extraction for composi... |
ISNN
2009
Springer
14 years 1 months ago
2009
Springer
Abstract. Nonlinear component analysis is a popular nonlinear feature extraction method. It generally uses eigen-decomposition technique to extract the principal components. But th...
ISNN
2004
Springer
14 years 6 days ago
2004
Springer
Abstract. Principal Component Analysis (PCA) is a feature extraction approach directly based on a whole vector pattern and acquires a set of projections that can realize the best r...
IROS
2006
IEEE
14 years 26 days ago
2006
IEEE
— This paper proposes an approach allowing indoor environment supervised learning to recognize relevant features for environment understanding. Stochastic preprocessing methods i...
MVA
2007
13 years 6 months ago
2007
We study a method of a feature extraction to discriminate emotions of human from a sensing data of human gait patterns as ”Biological motion data”. We assume that the high–d...
ICASSP
2011
IEEE
12 years 10 months ago
2011
IEEE
In this paper, we propose a new vector quantization method to create video thumbnail. In particular, we employ video time density function (VTDF) to explore the temporal character...