An improved reducing algorithm for rough set attributes has invented for answering the question of the excessive features vector dimensions. It obtains the local feature vector through geometric feature points. By introducing the rough set and improved reducing algorithm that it is able to select optimally among the existing expression features, also clipping the redundancy and useless information for the selection of expression feature. The experiment has showed that, this method has demonstrated high level of validity for its more convenience, higher recognition rate and more efficiency. © 2012 Springer-Verlag.
CITATION STYLE
Li, D., Tian, Y., Wan, C., & Liu, S. (2012). Facial expression feature selection based on rough set. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7473 LNCS, pp. 159–166). https://doi.org/10.1007/978-3-642-34062-8_21
Mendeley helps you to discover research relevant for your work.