We present a framework for active learning in the multiple-instance (MI) setting. In an MI learning problem, instances are naturally organized into bags and it is the bags, instea...
Abstract. Inspired by the abilities of both the praying mantis and the pigeon to judge distance by use of motionbased visually mediated odometry, we create miniature models for dep...
Alfred M. Bruckstein, Robert J. Holt, Igor Katsman...
Data mining is a process that analyzes voluminous digital data in order to discover hidden but useful patterns from digital data. However, discovery of such hidden patterns has sta...
Given a set of n points in d-dimensional Euclidean space, S ⊂ Ed , and a query point q ∈ Ed , we wish to determine the nearest neighbor of q, that is, the point of S whose Euc...
In recent years there has been an upsurge of interest in spatial databases. A major issue is how to manipulate efficiently massive amounts of spatial data stored on disk in multidi...
Lars Arge, Klaus Hinrichs, Jan Vahrenhold, Jeffrey...