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PAMI
2007
183views more  PAMI 2007»
13 years 7 months ago
Variational Surface Interpolation from Sparse Point and Normal Data
Many visual cues for surface reconstruction from known views are sparse in nature, e.g. specularities, surface silhouettes and salient features in an otherwise textureless region....
Jan Erik Solem, Henrik Aanæs, Anders Heyden
WSDM
2012
ACM
252views Data Mining» more  WSDM 2012»
12 years 3 months ago
WebSets: extracting sets of entities from the web using unsupervised information extraction
We describe a open-domain information extraction method for extracting concept-instance pairs from an HTML corpus. Most earlier approaches to this problem rely on combining cluste...
Bhavana Bharat Dalvi, William W. Cohen, Jamie Call...
EUROGP
2010
Springer
166views Optimization» more  EUROGP 2010»
14 years 18 days ago
Learning a Lot from Only a Little: Genetic Programming for Panel Segmentation on Sparse Sensory Evaluation Data
We describe a data mining framework that derives panelist information from sparse flavour survey data. One component of the framework executes genetic programming ensemble based s...
Katya Vladislavleva, Kalyan Veeramachaneni, Una-Ma...
WWW
2008
ACM
14 years 8 months ago
Computable social patterns from sparse sensor data
We present a computational framework to automatically discover high-order temporal social patterns from very noisy and sparse location data. We introduce the concept of social foo...
Dinh Q. Phung, Brett Adams, Svetha Venkatesh
ACL
1993
13 years 8 months ago
Contextual Word Similarity and Estimation from Sparse Data
In recent years there is much interest in word cooccurrence relations, such as n-grams, verb-object combinations, or cooccurrence within a limited context. This paper discusses ho...
Ido Dagan, Shaul Marcus, Shaul Markovitch