238 search results - page 2 / 48 » Improvement on PCA and 2DPCA Algorithms for Face Recognition |
MCS
2007
Springer
13 years 11 months ago
2007
Springer
In this paper we present a fusion technique for Support Vector Machine (SVM) scores, obtained after a dimension reduction with Bilateralprojection-based Two-Dimensional Principal C...
IBPRIA
2007
Springer
13 years 11 months ago
2007
Springer
In this paper we present a novel method for reducing false positives in breast mass detection. Our approach is based on using the Two-Dimensional Principal Component Analysis (2DPC...
PRL
2007
13 years 4 months ago
2007
Two-dimensional principal component analysis (2DPCA) is based on the 2D images rather than 1D vectorized images like PCA, which is a classical feature extraction technique in face...
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
Two Dimensional Locality Preserving Projection (2DLPP) is a recent extension of LPP, a popular face recognition algorithm. It has been shown that 2D-LPP performs better than PCA, ...
ICANN
2005
Springer
13 years 10 months ago
2005
Springer
Linear discrimination analysis (LDA) technique is an important and well-developed area of image recognition and to date many linear discrimination methods have been put forward. Ba...