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» Practical Preference Relations for Large Data Sets
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DCC
2004
IEEE
14 years 8 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
ICIP
2008
IEEE
14 years 2 months ago
Practical PTZ camera calibration using Givens rotations
Due to their ease of use and availability, pan-tilt-zoom (PTZ) cameras are everywhere. However, in order to utilize these cameras for a meaningful application, it is necessary tha...
Imran N. Junejo, Hassan Foroosh
KDD
2007
ACM
191views Data Mining» more  KDD 2007»
14 years 9 months ago
Modeling relationships at multiple scales to improve accuracy of large recommender systems
The collaborative filtering approach to recommender systems predicts user preferences for products or services by learning past useritem relationships. In this work, we propose no...
Robert M. Bell, Yehuda Koren, Chris Volinsky
IS
2008
13 years 8 months ago
DFL: A dataflow language based on Petri nets and nested relational calculus
In this paper we propose DFL -- a formal, graphical workflow language for dataflows, i.e., workflows where large amounts of complex data are manipulated, and the structure of the ...
Jan Hidders, Natalia Kwasnikowska, Jacek Sroka, Je...
ICDE
2008
IEEE
147views Database» more  ICDE 2008»
14 years 9 months ago
Fast Indexes and Algorithms for Set Similarity Selection Queries
Data collections often have inconsistencies that arise due to a variety of reasons, and it is desirable to be able to identify and resolve them efficiently. Set similarity queries ...
Marios Hadjieleftheriou, Amit Chandel, Nick Koudas...