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» Mining from Large Image Sets
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KDD
2004
ACM
624views Data Mining» more  KDD 2004»
15 years 11 months ago
Programming the K-means clustering algorithm in SQL
Using SQL has not been considered an efficient and feasible way to implement data mining algorithms. Although this is true for many data mining, machine learning and statistical a...
Carlos Ordonez
KDD
2012
ACM
217views Data Mining» more  KDD 2012»
13 years 8 months ago
The long and the short of it: summarising event sequences with serial episodes
An ideal outcome of pattern mining is a small set of informative patterns, containing no redundancy or noise, that identifies the key structure of the data at hand. Standard freq...
Nikolaj Tatti, Jilles Vreeken
SIGGRAPH
2010
ACM
15 years 6 months ago
Photo zoom: high resolution from unordered image collections
We present a system to automatically construct high resolution images from an unordered set of low resolution photos. It consists of an automatic preprocessing step to establish c...
Martin Eisemann, Elmar Eisemann, Hans-Peter Seidel...
DAGSTUHL
1997
15 years 7 months ago
InVIS - Interactive Visualization of Medical Data Sets
Interactive rendering of large data sets requires fast algorithms and rapid hardware acceleration. Both can be improved, but none of this ensures interactive response times. If a ...
Jörg Meyer, Steffen Gelder, Timna E. Schneide...
DRR
2008
15 years 7 months ago
Segmentation-based retrieval of document images from diverse collections
We describe a methodology for retrieving document images from large extremely diverse collections. First we perform content extraction, that is the location and measurement of reg...
Michael A. Moll, Henry S. Baird