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» Mining from Large Image Sets
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DCC
2004
IEEE
16 years 5 months ago
Fast Near-Lossless or Lossless Compression of Large 3D Neuro-Anatomical Images
3D neuro-anatomical images and other volumetric data sets are important in many scientific and biomedical fields. Since such sets may be extremely large, a scalable compression me...
Rongkai Zhao, Michael Gabriel, Geneva G. Belford
PADL
2000
Springer
15 years 9 months ago
Calculating a New Data Mining Algorithm for Market Basket Analysis
The general goal of data mining is to extract interesting correlated information from large collection of data. A key computationally-intensive subproblem of data mining involves ...
Zhenjiang Hu, Wei-Ngan Chin, Masato Takeichi
EMNETS
2007
15 years 10 months ago
Image browsing, processing, and clustering for participatory sensing: lessons from a DietSense prototype
Imagers are an increasingly significant source of sensory observations about human activity and the urban environment. ImageScape is a software tool for processing, clustering, an...
Sasank Reddy, Andrew Parker, Josh Hyman, Jeff Burk...
DAWAK
2001
Springer
15 years 10 months ago
Determining the Convex Hull in Large Multidimensional Databases
Determiningthe convex hull ofa point set isa basic operation for many applications of pattern recognition, image processing, statistics, and data mining. Although the corresponding...
Christian Böhm, Hans-Peter Kriegel
IGARSS
2010
15 years 3 months ago
A filtering approach to improve deformation accuracy using large baseline, low coherence DInSAR phase images
Phase noise in an interferogram hinders the accuracy and reliability of interferometric synthetic aperture radar (InSAR) measurements, including deformation estimation and topogra...
Abduwasit Ghulam, Reda Amer, Robert Ripperdan