910 search results - page 95 / 182 » Progressive Principal Component Analysis |
NIPS
2008
13 years 9 months ago
2008
Principal Components Analysis (PCA) has become established as one of the key tools for dimensionality reduction when dealing with real valued data. Approaches such as exponential ...
NIPS
2008
13 years 9 months ago
2008
We analyse matching pursuit for kernel principal components analysis (KPCA) by proving that the sparse subspace it produces is a sample compression scheme. We show that this bound...
MVA
2007
13 years 9 months ago
2007
This paper presents color processing for face recognition systems and proposes new directions for them. We show that color information helps performance of face recognition and fo...
FLAIRS
2006
13 years 9 months ago
2006
In this paper we present an automated method for classifying astronomical objects in multispectral wide-field images. The method is divided into three main tasks. The first one co...
ESANN
2001
13 years 9 months ago
2001
Prediction of financial time series using artificial neural networks has been the subject of many publications, even if the predictability of financial series remains a subject of ...