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NIPS
2001
15 years 3 months ago
Probabilistic principles in unsupervised learning of visual structure: human data and a model
To find out how the representations of structured visual objects depend on the co-occurrence statistics of their constituents, we exposed subjects to a set of composite images wit...
Shimon Edelman, Benjamin P. Hiles, Hwajin Yang, Na...
ICCV
2009
IEEE
16 years 6 months ago
3D reconstruction from image collections with a single known focal length
In this paper we aim at reconstructing 3D scenes from images with unknown focal lengths downloaded from photosharing websites such as Flickr. First we provide a minimal solution...
Martin Bujnak, Zuzana Kukelova, Tomas Pajdla
ICDM
2010
IEEE
142views Data Mining» more  ICDM 2010»
14 years 11 months ago
Causal Discovery from Streaming Features
In this paper, we study a new research problem of causal discovery from streaming features. A unique characteristic of streaming features is that not all features can be available ...
Kui Yu, Xindong Wu, Hao Wang, Wei Ding
103
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AUSAI
2003
Springer
15 years 7 months ago
Efficiently Mining Frequent Patterns from Dense Datasets Using a Cluster of Computers
Efficient mining of frequent patterns from large databases has been an active area of research since it is the most expensive step in association rules mining. In this paper, we pr...
Yudho Giri Sucahyo, Raj P. Gopalan, Amit Rudra
CVPR
2008
IEEE
15 years 3 months ago
Building reconstruction from a single DEM
We present a new approach for building reconstruction from a single Digital Elevation Model (DEM). It treats buildings as an assemblage of simple urban structures extracted from a...
Florent Lafarge, Xavier Descombes, Josiane Zerubia...