Lipschitz smooth, and further improved by using fewer iterations.

The first challenge is the exorbitant cost of scaling up the size of manually-labeled video datasets. The recent creation of large-scale action recognition datasets [5,15,25,26]hasundoubtedly enabled amajor leap forwardinvideo models accuracies.

Internal measures that are used to assess the quality of a clustering usually take into account intra-group and/or inter-group criteria.