In this paper, we present a novel multiple kernel method to learn the optimal classification function for visual concept. Although many carefully designed kernels have been propose...
We describe a strategy for enabling existing commodity operating systems to recover from unexpected run-time errors in nearly any part of the kernel, including core kernel compone...
Topic models such as Latent Dirichlet Allocation (LDA) and Correlated Topic Model (CTM) have recently emerged as powerful statistical tools for text document modeling. In this pap...
Duangmanee Putthividhya, Hagai Thomas Attias, Srik...
We introduce a formal semantics based calculus of trust that explicitly represents trust and quantifies the risk associated with trust in public key infrastructure (PKI) and iden...
Energy management is a critical concern in the design of embedded systems to prolong the lifetime or to maximize the performance under energy constraints. In particular, the emerg...