502 search results - page 57 / 101 » Principal Component Analysis for Sparse High-Dimensional Dat... |
CORR
2010
Springer
13 years 8 months ago
2010
Springer
In the context of the current financial crisis, when more companies are facing bankruptcy or insolvency, the paper aims to find methods to identify distressed firms by using finan...
IDA
2009
Springer
14 years 3 months ago
2009
Springer
Abstract. We present a probabilistic model for robust principal component analysis (PCA) in which the observation noise is modelled by Student-t distributions that are independent ...
ICIP
2001
IEEE
14 years 10 months ago
2001
IEEE
In this paper we address the problem of registering 3D scattered data by the mean of a statistical shape model. This model is built from a training set on which a principal compon...
ISDA
2008
IEEE
14 years 3 months ago
2008
IEEE
In this paper we compared the performance of the Automatic Data Reduction System (ADRS) and principal component analysis (PCA) as a preprocessor to artificial neural networks (ANN...
ESANN
2001
13 years 10 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 ...