It has long been known that Dynamic Time Warping (DTW) is superior to Euclidean distance for classification and clustering of time series. However, until lately, most research has...
The rapid development of information technology has enabled many systems that support creative work. However, it has gradually become obvious that the latest information systems h...
Shun'ichi Tano, T. Kodera, T. Nakashima, I. Kawano...
— This paper presents the initial results of a study aimed at improving the method by which the vibrations produced by transport vehicles are characterised and simulated. More sp...
Manuel-Alfredo Garcia-Romeu-Martinez, Vincent Roui...
Abstract. In this paper we elaborate on the challenges of learning manifolds that have many relevant clusters, and where the clusters can have widely varying statistics. We call su...
We introduce the novel problem of inter-robot transfer learning for perceptual classification of objects, where multiple heterogeneous robots communicate and transfer learned obje...