152 search results - page 26 / 31 » Provable dimension detection using principal component analy... |
ESANN
2006
13 years 8 months ago
2006
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
CVPR
2000
IEEE
14 years 9 months ago
2000
IEEE
The analysis of human action captured in video sequences has been a topic of considerable interest in computer vision. Much of the previous work has focused on the problem of acti...
ICB
2007
Springer
14 years 1 months ago
2007
Springer
Recent studies have shown that shape cues should dominate gait recognition. This motivates us to perform gait recognition through shape features in 2D human silhouettes. In this pa...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
We study the problem of finding the dominant eigenvector of the sample covariance matrix, under additional constraints on the vector: a cardinality constraint limits the number of...
ICPR
2008
IEEE
14 years 1 months ago
2008
IEEE
In this study Principal Component Analysis (PCA), Non-negative Matrix Factorization (NMF) and Nonnegative Tensor Factorization (NTF) are applied as dimension reduction methods in ...