Tone mapping and visual adaptation are crucial for the generation of static, photorealistic images. A largely unexplored problem is the simulation of adaptation and its changes ove...
The bias-variance decomposition is a very useful and widely-used tool for understanding machine-learning algorithms. It was originally developed for squared loss. In recent years,...
Pronolninalization has been related to tile idea of a local focus - a set of discourse entities in the speaker's centre of attention, for exmnple ill Gundel et al. (1993)...
ABSTRACT: This work considers the problem of performing a set of N tasks on a set of P cooperating message-passing processors (P N). The processors use a group communication servi...
Hardware predictor designers have incorporated hysteresis and/or bias to achieve desired behavior by increasing the number of bits per counter. Some resulting proposed predictor de...