In Multi-Target Tracking (MTT), the problem of assigning labels to tracks (track labelling) is vastly covered in literature and has been previously formulated using Bayesian recursion. However, the existing literature lacks an appropriate measure of uncertainty related to the assigned labels which has sound mathematical basis and clear practical meaning (to the user). This is especially importa...

ABSTRAKSMAN 6 Madiun memiliki area yang luas dan terdapat banyak tanaman tumbuh. Namun tersebut tidak informasi detail terkait dengan nama ilmiah, ciri umum manfaatnya. Selain itu juga masih belum dimanfaatkan sebagai pengembangan keilmuan serta literasi digital. Melalui Proyek Kepemimpinan Smart Eco School salah satu program kerjanya yaitu E-Labelling. Program ini bertujuan untuk melatih pembu...

In application domains where there exists a large amount of unlabelled data but obtaining labels is expensive, active learning is a useful way to select which data should be labelled. In addition to its traditional successful use in classification and regression tasks, active learning has been also applied to sequence labelling. According to the standard active learning approach, sequences for ...

The Map Labelling Problem appears in several applications, mainly in Cartography. Although much research on this problem has been done, it is interesting to note that map-labelling processes in commercial fields are very often executed manually or with little support of automatic tools. In general, practical map-labelling problems involve human subjective domain knowledge about label placement ...

A good edge-labelling of a graph G is a labelling of its edges such that for any two distinct vertices u, v, there is at most one (u, v)-path with non-decreasing labels. This notion was introduced in [3] to solve wavelength assignment problems for specific categories of graphs. In this paper, we aim at characterizing the class of graphs that admit a good edge-labelling. First, we exhibit infini...