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» Embedding Heterogeneous Data Using Statistical Models
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81
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COMPGEOM
2009
ACM
15 years 7 months ago
Embedding rivers in polyhedral terrains
Data conflation is a major issue in GIS: spatial data obtained from different sources, using different acquisition techniques, needs to be combined into one single consistent d...
Marc J. van Kreveld, Rodrigo I. Silveira
93
Voted
CIKM
2009
Springer
15 years 7 months ago
Semi-nonnegative matrix factorization with global statistical consistency for collaborative filtering
Collaborative Filtering, considered by many researchers as the most important technique for information filtering, has been extensively studied by both academic and industrial co...
Hao Ma, Haixuan Yang, Irwin King, Michael R. Lyu
92
Voted
SSDBM
2006
IEEE
167views Database» more  SSDBM 2006»
15 years 6 months ago
Exploring Data Streams with Nonparametric Estimators
A variety of real-world applications requires a meaningful online analysis of transient data streams. An important building block of many analysis tasks is the characterization of...
Christoph Heinz, Bernhard Seeger
101
Voted
AAAI
1996
15 years 1 months ago
Sequential Inductive Learning
This article advocates a new model for inductive learning. Called sequential induction, it helps bridge classical fixed-sample learning techniques (which are efficient but difficu...
Jonathan Gratch
110
Voted
FIMH
2007
Springer
15 years 6 months ago
Statistical Comparison of Cardiac Fibre Architectures
Abstract. In this paper, a statistical atlas of DT-MRIs based on a population of nine ex vivo normal canine hearts is compared with a human cardiac DT-MRI and a commonly used synth...
Jean-Marc Peyrat, Maxime Sermesant, Xavier Pennec,...