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» Learning from Highly Structured Data by Decomposition
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ICCV
2011
IEEE
13 years 9 months ago
2D-3D Fusion for Layer Decomposition of Urban Facades
We present a method for fusing two acquisition modes, 2D photographs and 3D LiDAR scans, for depth-layer decomposition of urban facades. The two modes have complementary character...
Yangyan Li, Qian Zheng, Andrei Sharf, Daniel Cohen...
DASFAA
2003
IEEE
108views Database» more  DASFAA 2003»
15 years 2 months ago
Spatial Query Processing for High Resolutions
Modern database applications including computeraided design (CAD), medical imaging, or molecular biology impose new requirements on spatial query processing. Particular problems a...
Hans-Peter Kriegel, Martin Pfeifle, Marco Pöt...
88
Voted
KDD
1998
ACM
190views Data Mining» more  KDD 1998»
15 years 1 months ago
Time Series Forecasting from High-Dimensional Data with Multiple Adaptive Layers
This paper describes our work in learning online models that forecast real-valued variables in a high-dimensional space. A 3GB database was collected by sampling 421 real-valued s...
R. Bharat Rao, Scott Rickard, Frans Coetzee
ECML
2006
Springer
15 years 1 months ago
Fast Spectral Clustering of Data Using Sequential Matrix Compression
Spectral clustering has attracted much research interest in recent years since it can yield impressively good clustering results. Traditional spectral clustering algorithms first s...
Bo Chen, Bin Gao, Tie-Yan Liu, Yu-Fu Chen, Wei-Yin...
ICDM
2005
IEEE
126views Data Mining» more  ICDM 2005»
15 years 3 months ago
Text Representation: From Vector to Tensor
In this paper, we propose a text representation model, Tensor Space Model (TSM), which models the text by multilinear algebraic high-order tensor instead of the traditional vector...
Ning Liu, Benyu Zhang, Jun Yan, Zheng Chen, Wenyin...