Inspired by tensor voting, we present luminance voting, a novel approach for image registration with global and local luminance alignment. The key to our modeless approach is the ...
We establish a mistake bound for an ensemble method for classification based on maximizing the entropy of voting weights subject to margin constraints. The bound is the same as a ...
In multiagent settings where agents have different preferences, preference aggregation can be an important issue. Voting is a general method to aggregate preferences. We consider ...
Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
The Immune system aimsto provide survivabilityto CORBA applications, enabling them to continue to operate despite malicious attacks, accidents, or faults. Every object within the ...
Priya Narasimhan, Kim Potter Kihlstrom, Louise E. ...