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ACL
2007
15 years 5 months ago
A Seed-driven Bottom-up Machine Learning Framework for Extracting Relations of Various Complexity
A minimally supervised machine learning framework is described for extracting relations of various complexity. Bootstrapping starts from a small set of n-ary relation instances as...
Feiyu Xu, Hans Uszkoreit, Hong Li
DAGSTUHL
2010
15 years 5 months ago
Tracking Lines in Higher Order Tensor Fields
While tensors occur in many areas of science and engineering, little has been done to visualize tensors with order higher than two. Tensors of higher orders can be used for exampl...
Mario Hlawitschka, Gerik Scheuermann
GRAPHICSINTERFACE
2007
15 years 5 months ago
Robust pixel classification for 3D modeling with structured light
Modeling 3D objects and scenes is an important part of computer graphics. One approach to modeling is projecting binary patterns onto the scene in order to obtain correspondences ...
Yi Xu, Daniel G. Aliaga
LREC
2008
150views Education» more  LREC 2008»
15 years 5 months ago
Causal Relation Extraction
This paper presents a supervised method for the detection and extraction of Causal Relations from open domain text. First we give a brief outline of the definition of causation an...
Eduardo Blanco, Núria Castell, Dan I. Moldo...
NIPS
2007
15 years 5 months ago
Learning Visual Attributes
We present a probabilistic generative model of visual attributes, together with an efficient learning algorithm. Attributes are visual qualities of objects, such as ‘red’, ...
Vittorio Ferrari, Andrew Zisserman