Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
This paper proposes a market-place based architecture, where users can detect wireless network services, negotiate with the identified service providers about price and service fe...
In this paper we study the problem of classifying chemical compound datasets. We present a sub-structure-based classification algorithm that decouples the sub-structure discovery...
Mukund Deshpande, Michihiro Kuramochi, George Kary...
We describe our experience using PARED, an object oriented system for the adaptive solution of PDEs in a distributed computing environment. PARED handles selective mesh refinement...
Deciding what to branch on at each node is a key element of search algorithms. We present four families of methods for selecting what question to branch on. They are all informati...