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KDD
2006
ACM
115views Data Mining» more  KDD 2006»
16 years 6 months ago
Supervised probabilistic principal component analysis
Principal component analysis (PCA) has been extensively applied in data mining, pattern recognition and information retrieval for unsupervised dimensionality reduction. When label...
Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Krieg...
ICDAR
2007
IEEE
16 years 21 days ago
Streaming-Archival InkML Conversion
Ink Markup Language (InkML) provides a platform– neutral data format that can be used to represent, store and transmit digital ink data. Both streaming and archival applications...
Birendra Keshari, Stephen M. Watt
ICPADS
2006
IEEE
16 years 12 days ago
Flexible, Low-overhead Event Logging to Support Resource Scheduling
Flexible resource management and scheduling policies require detailed system-state information. Traditional, monolithic operating systems with a centralized kernel derive the requ...
Jan Stoess, Volkmar Uhlig
160
Voted
IDEAL
2009
Springer
16 years 28 days ago
STORM - A Novel Information Fusion and Cluster Interpretation Technique
Abstract. Analysis of data without labels is commonly subject to scrutiny by unsupervised machine learning techniques. Such techniques provide more meaningful representations, usef...
Jan Feyereisl, Uwe Aickelin
DMDW
2001
307views Management» more  DMDW 2001»
15 years 7 months ago
An Analysis of Many-to-Many Relationships Between Fact and Dimension Tables in Dimensional Modeling
Star schema, which maintains one-to-many relationships between dimensions and a fact table, is widely accepted as the most viable data representation for dimensional analysis. Rea...
Il-Yeol Song, William Rowen, Carl Medsker, Edward ...