Manual processing of a large volume of video data captured through closed-circuit television
is challenging due to various reasons. First, manual analysis is highly time-consuming …

Representation of videos is essential since it conveys an understanding of video content
and enables many higher level tasks to be tackled efficiently. However, it is challenging to …

Word embeddings refer to vector representations of words that can capture their meanings.
Those vectors can be applied in diverse NLP tasks [1]. Recently, several studies present the …

Topic models are frequently used in machine learning owing to their high interpretability and
modular structure. However, extending a topic model to include a supervisory signal, to …

We present a method that analyzes a person's negotiation behavior to automatically detect
co-occurrence of tactics and combination of tactics (ie, negotiation styles). We first identify …

Negotiation is a fundamental aspect of social interaction. Due to the fundamental role it
plays in our lives, there has been much work on computationally modeling negotiation …