Because of information ubiquity, one observes an important trend towards transferring information management tasks from database systems to networks. We introduce the notion of Da...
In this paper, we develop a geometric framework for linear or nonlinear discriminant subspace learning and classification. In our framework, the structures of classes are conceptu...
This paper presents a semantic-aware classification algorithm that can leverage the interoperability among semantically heterogeneous learning object repositories using different ...
Ming-Che Lee, Kun Hua Tsai, Tung Cheng Hsieh, Ti K...
Faults attacks are a powerful tool to break some implementations of robust cryptographic algorithms such as AES [8] and DES [3]. Various methods of faults attack on cryptographic ...
Stereo vision for small mobile robots is a challenging problem, particularly when employing embedded systems with limited processing power. However, it holds the promise of greatl...