In this paper we introduce a new embedding technique to find the linear projection that best projects labeled data samples into a new space where the performance of a Nearest Neig...
The importance of tuning a search algorithm for the specific features of the target search space has been known for quite some time. However, when dealing with multiobjective prob...
Probabilistic Roadmaps (PRM) are a commonly used class of algorithms for robot navigation tasks where obstacles are present in the environment. We examine the situation where the ...
The goal of this project is to develop an agent capable of learning and behaving autonomously and making decisions quickly in a dynamic environment. The agent’s environment is a...
IDDQ testing has been used as a test technique to supplement voltage testing of CMOS chips. The idea behind IDDQ testing is to declare a chip as faulty if the steady-state current...