This paper presents a hybrid model for animation of soft inelastic substance which undergo topological changes, e.g. separation and fusion and which fit with the objects they are...
Recent advances in realtime image compression and decompression hardware make it possible for a high-performance graphics engine to operate as a rendering server in a networked en...
We use mean value analysis models to compare representative hardware and software cache coherence schemes for a large-scale shared-memory system. Our goal is to identify the workl...
Sarita V. Adve, Vikram S. Adve, Mark D. Hill, Mary...
Two approaches have been used to balance the cost of generating e ective tests for ICs and the need to increase the ICs' quality level. The rst approach favorsusing high-leve...
Compositional Q-Learning (CQ-L) (Singh 1992) is a modular approach to learning to performcomposite tasks made up of several elemental tasks by reinforcement learning. Skills acqui...