We introduce a method for automated temporal segmentation of human motion data into
distinct actions and compositing motion primitives based on self-similar structures in the …

The problem of mining frequent patterns in non-temporal databases is studied extensively.
Conventional frequent pattern algorithms are not applicable to find temporal frequent items …

Temporal database is a database which captures and maintains past, present and future
data. Conventional databases are not suitable for handling such time varying data. In this …

With the widespread application of vision-based wearable devices, temporal segmentation
helps people search for and localize all occurrences quickly in egocentric videos. In the …

Unsupervised segmentation of action segments in egocentric videos is a desirable feature in
tasks such as activity recognition and content-based video retrieval. Reducing the search …

We propose ClusPath, a novel algorithm for detecting general evolution tendencies in a
population of entities. We show how abstract notions, such as the Swedish socio …

Temporal clustering refers to the partitioning of a time series into multiple non-overlapping
segments that belong to k temporal clusters, in such a way that segments in the same cluster …