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KDD
2009
ACM
188views Data Mining» more  KDD 2009»
16 years 2 months ago
Mining discrete patterns via binary matrix factorization
Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...
Bao-Hong Shen, Shuiwang Ji, Jieping Ye
WWW
2005
ACM
16 years 2 months ago
Three-level caching for efficient query processing in large Web search engines
Large web search engines have to answer thousands of queries per second with interactive response times. Due to the sizes of the data sets involved, often in the range of multiple...
Xiaohui Long, Torsten Suel
ICDM
2006
IEEE
130views Data Mining» more  ICDM 2006»
15 years 8 months ago
A Framework for Regional Association Rule Mining in Spatial Datasets
The immense explosion of geographically referenced data calls for efficient discovery of spatial knowledge. One critical requirement for spatial data mining is the capability to ...
Wei Ding 0003, Christoph F. Eick, Jing Wang 0007, ...
98
Voted
CVPR
2008
IEEE
16 years 3 months ago
Simple calibration of non-overlapping cameras with a mirror
Calibrating a network of cameras with non-overlapping views is an important and challenging problem in computer vision. In this paper, we present a novel technique for camera cali...
Ram Krishan Kumar, Adrian Ilie, Jan-Michael Frahm,...
88
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ICCV
2007
IEEE
16 years 3 months ago
Scene Summarization for Online Image Collections
We formulate the problem of scene summarization as selecting a set of images that efficiently represents the visual content of a given scene. The ideal summary presents the most i...
Ian Simon, Noah Snavely, Steven M. Seitz