Transcription of A Branch-and-Bound Framework for Unsupervised …
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Noname manuscript No. (will be inserted by the editor). A Branch-and-Bound Framework for Unsupervised common Event discovery Wen-Sheng Chu1 Fernando De la Torre1 Jeffrey F. Cohn1,2 . Daniel S. Messinger3. Received: date / Accepted: date Abstract Event discovery aims to discover a temporal Video 1. segment of interest, such as human behavior, actions or activities. Most approaches to event discovery within or between time series use supervised learning. This Video 2. becomes problematic when some relevant event labels ]. ]. are unknown, are difficult to detect, or not all possi- ble combinations of events have been anticipated. To overcome these problems, this paper explores common Event discovery (CED), a new problem that aims to ] Kiss discover common events of variable-length segments in common an Unsupervised manner.
A Branch-and-Bound Framework for Unsupervised Common Event Discovery 3 recognition [15]. These approaches aim to detect a tem-poral pattern that associates with a pre-de ned human
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