Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
Recent work in transfer learning has succeeded in making reinforcement learning algorithms more efficient by incorporating knowledge from previous tasks. However, such methods typ...
We present a systematic approach to synthesize an instruction set such that the given application software can be efficiently mapped to a parameterized, pipelined microarchitectur...
Height fields and depth maps which we collectively refer to as z-fields, usually carry a lot of redundant information and are often used in real-time applications. This is the rea...
We present an algorithm for covering continuous domains by primitive robots whose only ability is to mark visited places with pheromone and to sense the level of the pheromone in t...
Eliyahu Osherovich, Alfred M. Bruckstein, Vladimir...