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ICPR
2008
IEEE
16 years 7 months ago
Semi-supervised learning on large complex simulations
Complex simulations can generate very large amounts of data stored disjointly across many local disks. Learning from this data can be problematic due to the difficulty of obtainin...
John Nicholas Korecki, Kevin W. Bowyer, Larry O. H...
DEXA
2003
Springer
149views Database» more  DEXA 2003»
15 years 11 months ago
Capturing Uncertainty in Spatial Queries over Imprecise Data
Emerging applications using miniature electronic devices (e.g., tracking mobile objects using sensors) generate very large amounts of highly dynamic data that poses very high overh...
Xingbo Yu, Sharad Mehrotra
KDD
2008
ACM
138views Data Mining» more  KDD 2008»
16 years 7 months ago
Quantitative evaluation of approximate frequent pattern mining algorithms
Traditional association mining algorithms use a strict definition of support that requires every item in a frequent itemset to occur in each supporting transaction. In real-life d...
Rohit Gupta, Gang Fang, Blayne Field, Michael Stei...
CVPR
2005
IEEE
16 years 8 months ago
Robust L1 Norm Factorization in the Presence of Outliers and Missing Data by Alternative Convex Programming
Matrix factorization has many applications in computer vision. Singular Value Decomposition (SVD) is the standard algorithm for factorization. When there are outliers and missing ...
Qifa Ke, Takeo Kanade
ICDE
1999
IEEE
105views Database» more  ICDE 1999»
16 years 8 months ago
Scheduling and Data Replication to Improve Tape Jukebox Performance
An increasing number of database applications require online access to massive amounts of data. Since large-scale storage systems implemented entirely on magnetic disk can be impr...
Bruce Hillyer, Rajeev Rastogi, Abraham Silberschat...