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» Informative sampling for large unbalanced data sets
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DCC
2007
IEEE
16 years 1 months ago
Spectral Predictors
Many scientific, imaging, and geospatial applications produce large high-precision scalar fields sampled on a regular grid. Lossless compression of such data is commonly done usin...
Lorenzo Ibarria, Peter Lindstrom, Jarek Rossignac
IDA
2000
Springer
15 years 1 months ago
Relation-based aggregation: finding objects in large spatial datasets
Regularities exist in datasets describing spatially distributed physical phenomena. Human experts often understand alize the regularities as abstract spatial objects evolving coher...
Xingang Huang, Feng Zhao
DAGSTUHL
2007
15 years 2 months ago
An analytic solution to the alibi query in the bead model for moving object data
Abstract. Moving objects produce trajectories, which are stored in databases by means of finite samples of time-stamped locations. When also speed limitations in these sample poin...
Bart Kuijpers, Walied Othman
LISA
2008
15 years 3 months ago
IZO: Applications of Large-Window Compression to Virtual Machine Management
The increased use of virtual machines in the enterprise environment presents an interesting new set of challenges for the administrators of today's information systems. In ad...
Mark A. Smith, Jan Pieper, Daniel Gruhl, Lucas Vil...
PRL
2010
188views more  PRL 2010»
14 years 12 months ago
Sparsity preserving discriminant analysis for single training image face recognition
: Single training image face recognition is one of main challenges to appearance-based pattern recognition techniques. Many classical dimensionality reduction methods such as LDA h...
Lishan Qiao, Songcan Chen, Xiaoyang Tan