910 search results - page 90 / 182 » Progressive Principal Component Analysis |
ICMCS
2007
IEEE
14 years 2 months ago
2007
IEEE
Extraction of stable local invariant features is very important in many computer vision applications, such as image matching, object recognition and image retrieval. Most existing...
ICMCS
2006
IEEE
14 years 1 months ago
2006
IEEE
EM algorithm is an important unsupervised clustering algorithm, but the algorithm has several limitations. In this paper, we propose a fast EM algorithm (FEMA) to address the limi...
ICPR
2006
IEEE
14 years 1 months ago
2006
IEEE
In hand shape recognition, transformation invariance is key for successful recognition. We propose a system that is invariant to small scale, translation and shape variations. Thi...
ICPR
2010
IEEE
14 years 1 months ago
2010
IEEE
This paper proposes an evolutionary RBF network classifier for polarimetric synthetic aperture radar ( SAR) images. The proposed feature extraction process utilizes the full covar...
CEC
2005
IEEE
14 years 1 months ago
2005
IEEE
This paper proposes a novel face detection method based on Principal Component Analysis (PCA) and Evolutionary Algorithm (EA). In a view-based approach to face detection, the face ...