In a previous paper [1], we have presented a new linear classification algorithm, Principal Component Null Space Analysis (PCNSA) which is designed for problems like object recogn...
Event/object classification and recognition is an extremely challenging problem, particularly when the query or stored data undergo an affine transformation due to camera motion. ...
Knowing the subcellular location of a protein is critical to a full understanding of its function, and automated, objective methods for assigning locations are needed as part of t...
A large amount of information on the Web is contained in regularly structured objects, which we call data records. Such data records are important because they often present the e...
Many augmented reality (AR) applications which overlay computer graphics on a real image have been developed. One of the limitations of such applications is that a user has to con...