Linear Discriminant Analysis (LDA) has been a popular method for feature extracting and face recognition. As a supervised method, it requires manually labeled samples for training...
This paper presents a hierarchical lane detection system with the ability to deal with both structured and unstructured roads. The proposed system classifies the environment first...
Under the homoscedastic Gaussian assumption, it has been shown that Fisher’s linear discriminant analysis (FLDA) suffers from the class separation problem when the dimensionalit...
Tracking nano-metric particles in a biological environment is a very difficult task because of the low signal intensity and the high mobility of these small objects. The task bec...
Nicolas Chenouard, Samantha Vernhettes, Isabelle B...
In this paper, a novel method based on pose adaptive linear discriminant analysis (PALDA) is proposed to deal with pose variation problems in face recognition when each person has...