Multi-instance (MI) learning is a variant of supervised learning where labeled examples consist of bags (i.e. multi-sets) of feature vectors instead of just a single feature vecto...
Capture, processing, and assimilation of digital media-based information such as video, images, or audio requires a unified framework within which signal processing techniques and...
Rahul Singh, Zhao Li, Pilho Kim, Derik Pack, Rames...
Data allocation is a key performance factor for parallel database systems (PDBS). This holds especially for data warehousing environments where huge amounts of data and complex an...
Latent Dirichlet allocation (LDA) and other related topic models are increasingly popular tools for summarization and manifold discovery in discrete data. However, LDA does not ca...
Integrated process support is highly desirable in environments where data related to a particular business process are scattered over distributed, heterogeneous information system...
Manfred Reichert, Sarita Bassil, Ralph Bobrik, Tho...