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SDM
2011
SIAM
233views Data Mining» more  SDM 2011»
13 years 29 days ago
Multi-Instance Mixture Models
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...
James R. Foulds, Padhraic Smyth
CVDB
2004
ACM
14 years 3 months ago
Event-Based Modeling and Processing of Digital Media
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...
VLDB
2000
ACM
248views Database» more  VLDB 2000»
14 years 1 months ago
Multi-Dimensional Database Allocation for Parallel Data Warehouses
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...
Thomas Stöhr, Holger Märtens, Erhard Rah...
ICML
2006
IEEE
14 years 11 months ago
Pachinko allocation: DAG-structured mixture models of topic correlations
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...
Wei Li, Andrew McCallum
EMISAIJ
2010
13 years 5 months ago
The Proviado Access Control Model for Business Process Monitoring Components
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...