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» Characterizing Uncertain Data using Compression
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ATAL
2010
Springer
13 years 7 months ago
Exploiting scale invariant dynamics for efficient information propagation in large teams
Large heterogeneous teams will often be in situations where sensor data that is uncertain and conflicting is shared across a peer-to-peer network. Not every team member will have ...
Robin Glinton, Paul Scerri, Katia P. Sycara
AUSAI
2007
Springer
14 years 10 days ago
Merging Algorithm to Reduce Dimensionality in Application to Web-Mining
Dimensional reduction may be effective in order to compress data without loss of essential information. Also, it may be useful in order to smooth data and reduce random noise. The...
Vladimir Nikulin, Geoffrey J. McLachlan
BIOID
2008
157views Biometrics» more  BIOID 2008»
13 years 8 months ago
Modeling Marginal Distributions of Gabor Coefficients: Application to Biometric Template Reduction
Abstract. Gabor filters have demonstrated their effectiveness in automatic face recognition. However, one drawback of Gabor-based face representations is the huge amount of data th...
Daniel González-Jiménez, José...
CVPR
2010
IEEE
14 years 2 months ago
Learning Shift-Invariant Sparse Representation of Actions
A central problem in the analysis of motion capture (Mo- Cap) data is how to decompose motion sequences into primitives. Ideally, a description in terms of primitives should fac...
Yi Li
VLDB
2000
ACM
166views Database» more  VLDB 2000»
13 years 9 months ago
Oracle8i Index-Organized Table and Its Application to New Domains
Primary B+ -tree, a variant of B+ -tree structure with row data in leaf blocks, is an ideal storage organization for queries involving exact match and/or range search on primary k...
Jagannathan Srinivasan, Souripriya Das, Chuck Frei...