We present an algorithm, Hierarchical ISOmetric SelfOrganizing Map (H-ISOSOM), for a concise, organized manifold representation of complex, non-linear, large scale, high-dimension...
In this paper, we present a new coding scheme for depth maps using a hierarchical decomposition. After we decompose a depth map into three disjoint images and a layer descriptor a...
We present an application of hierarchical Bayesian estimation to robot map building. The revisiting problem occurs when a robot has to decide whether it is seeing a previously-bui...
Benjamin Stewart, Jonathan Ko, Dieter Fox, Kurt Ko...
— Many information retrieval and machine learning methods have not evolved in order to be applied to the Web. Two main problems in applying some machine learning techniques for W...
In this paper, we have developed a HiTi (Hierarchical MulTi) graph model for structuring large topographical road maps to the minimum cost route computation. The HiTi graph model p...