A common practice in pattern recognition is to classify an unknown object by matching its feature vector with all the feature vectors stored in a database. When the number of clas...
Ying-Ho Liu, Wen-Hsiung Lin, Fu Chang, Chin-Chin L...
This study extends the theory of Recognition Primed Decision-Making by applying it to groups. Furthermore, we explore the application of Template Theory to collaboration. An exper...
Stephen C. Hayne, C. A. P. Smith, Leo R. Vijayasar...
A novel low-computation discriminative feature space is introduced for facial expression recognition capable of robust performance over a rang of image resolutions. Our approach i...
Named Entity recognition, as a task of providing important semantic information, is a critical first step in Information Extraction and QuestionAnswering system. This paper propos...
Feature selection and dimensionality reduction are crucial research fields in pattern recognition. This work presents the application of a novel technique on dimensionality reducti...