Tera-scale high-performance computing has enabled scientists to tackle very large and computationally challenging scientific problems, making the advancement of scientific discov...
Seung Woo Son, Guangyu Chen, Mahmut T. Kandemir, A...
Abstract. Many problems studied in the multiagent systems community can be considered instances of an abstract multiagent resource allocation problem. In this problem, which is now...
– The phenomenon of digital convergence and increasing application complexity today is motivating the design of chip multiprocessor (CMP) applications with multiple use cases. Mo...
Abstract. Visual dictionary learning and base (binary) classifier training are two basic problems for the recently most popular image categorization framework, which is based on t...
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...