Essays about: "Action Clusters"
Showing result 6 - 10 of 21 essays containing the words Action Clusters.
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6. Genre-based Video Clustering using Deep Learning : By Extraction feature using Object Detection and Action Recognition
University essay from Linköpings universitet/Statistik och maskininlärningAbstract : Social media has become an integral part of the Internet. There have been users across the world sharing content like images, texts, videos, and so on. There is a huge amount of data being generated and it has become a challenge to the social media platforms to group the content for further usage like recommending a video. READ MORE
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7. Clustering and Classification of Time Series in Real-Time Strategy Games - A machine learning approach for mapping StarCraft II games to clusters of game state time series while limited by fog of war
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : Real-time strategy (RTS) games feature vast action spaces and incomplete information, thus requiring lengthy training times for AI-agents to master them at the level of a human expert. Based on the inherent complexity and the strategical interplay between the players of an RTS game, it is hypothesized that data sets of played games exhibit clustering properties as a result of the actions made by the players. READ MORE
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8. Addressing a large-scale implementation of low-emission zones in France
University essay from KTH/Systemanalys och ekonomiAbstract : Air pollution is a public health issue, and traffic is one of the main sources of pollutants such as NO2, PM10 and PM2.5. Consequently, European cities have been implementing low-emission zones (LEZs) by defining regulated areas, where the most-polluting vehicles are prohibited from driving. READ MORE
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9. Designing an Interactive tool for Cluster Analysis of Clickstream Data
University essay from Uppsala universitet/Avdelningen för visuell information och interaktionAbstract : The purpose of this study was to develop an interactive tool that enables identification of different types of users of an application based on clickstream data. A complex hierarchical clustering algorithm tool called Recursive Hierarchical Clustering (RHC) was used. READ MORE
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10. Real-time Outlier Detection using Unbounded Data Streaming and Machine Learning
University essay from Luleå tekniska universitet/DatavetenskapAbstract : Accelerated advancements in technology, the Internet of Things, and cloud computing have spurred an emergence of unstructured data that is contributing to rapid growth in data volumes. No human can manage to keep up with monitoring and analyzing these unbounded data streams and thus predictive and analytic tools are needed. READ MORE