A Multi-Channel Neural Graphical Event Model with Negative Evidence
نویسندگان
چکیده
منابع مشابه
Robust Meeting Event Recognition with a Multi-Modal Mixed-State Graphical Model
Meetings are social events, were people exchange information. Often a summarization of the meeting is necessary, for example for people not attending the meeting or to fix decisions. A first step for the automatic analysis of the meetings is a segmentation into meeting group action events like discussion or presentation [4]. This structuring can then be used to produce an agenda and a summariza...
متن کاملAudio-Visual Event Recognition with Graphical Models
In this work, different applications for the automated detection of events have been investigated utilizing audio-visual pattern recognition methods. The recorded data has been taken both from video surveillance or video conferences. Acoustic, visual and semantic features are extracted from the available data and are subsequently analysed with the help of graphical models. These are particularl...
متن کاملThe influence of event attributes on tourist’s loyalty: Evidence from the Ashoura event in Yazd City
Many studies have found that the perceived authenticity of cultural and religious events affects event satisfaction and loyalty. Little is currently known about how perceived authenticity is affected by the facilities, such as food and the availability of information, which are independent determinants of satisfaction and loyalty. This study aims to examine the antecedents of event loyalty. Que...
متن کاملA Graphical Tool for Event Refinement Structures in Event-B
The Event Refinement Structures (ERS) approach provides a graphical extension of the Event-B formal method to represent event decomposition and control-flow explicitly. In this paper we present an improved version of the ERS plug-in, which provides a graphical environment for the ERS approach within the Event-B tool, Rodin. The improved ERS plug-in is based on the available frameworks that are ...
متن کاملA graphical model for multi-relational social network analysis
In this paper, we propose a graphical model for multi-relational social network analysis based on latent variable models. Latent variable models are one of the successful approaches for social network analysis. These models assume a latent variable for each entity and then the probability distribution over relationships between entities is modeled via a function over latent variables. Here, we ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Proceedings of the AAAI Conference on Artificial Intelligence
سال: 2020
ISSN: 2374-3468,2159-5399
DOI: 10.1609/aaai.v34i04.5810