Linear Discriminant Analysis (LDA) is a well-known method for feature extraction and dimension reduction. It has been used widely in many applications such as face recognition. Re...
Tao Xiong, Jieping Ye, Qi Li, Ravi Janardan, Vladi...
In this paper, we present our work for automatic generation of textual metadata based on visual content analysis of video news. We present two methods for semantic object detectio...
Abstract: The Principal Component Analysis (PCA) is a data dimensionality reduction technique well-suited for processing data from sensor networks. It can be applied to tasks like ...
The usability concept has now received such a wide recognition in information technology (IT) development that working with usability can be regarded as a profession in its own ri...
Physically disabled and mentally challenged people are an important part of our society that has not yet received the same opportunities as others in their inclusion in the Inform...
Javier Varona, Cristina Manresa-Yee, Francisco J. ...