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Surveillance videos of public places often consist of group activities composed from multiple co-occurring individual activities. However, latent topic models, such as Latent Dirichlet Allocation (LDA), which have been successfully used to discover individual activities, do not discover group activities. In this paper we propose a method to discover group activities along with individual activities...
Data processing on the cloud is increasingly used for offering cost effective services. In this paper, we present a method for resource allocation for data processing services over the cloud taking into account not just the processing power and memory requirements, but the network speed, reliability and data throughput. We also present algorithms for partitioning data, for doing parallel block data...
Poor Data Quality is a serious problem affecting enterprises. Enterprise databases are large and manual data cleansing is not feasible. For such large databases it is logical to attempt to cleanse the data in an automated way. This has led to the development of commercial tools for automatic cleansing. However, offering data cleansing as a service has been a challenge because of the need to customize...
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