We consider constraint optimization problems where costs (or preferences) are all given, but some are tagged as possibly unstable, and provided with a range of alternative values. ...
Maria Silvia Pini, Francesca Rossi, Kristen Brent ...
In recent years, the evolution of artificial neural networks or neuroevolution has brought promising results in solving difficult reinforcement learning problems. But, like standa...
Although more efficient in computation compared to other tracking approaches such as particle filtering, the kernel-based tracking suffers from the "singularity" problem...
Region based features are getting popular due to their higher descriptive power relative to other features. However, real world images exhibit changes in image segments capturing ...