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» Graph-Based Induction for General Graph Structured Data
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ICCS
2004
Springer
15 years 3 months ago
Clustering of Conceptual Graphs with Sparse Data
This paper gives a theoretical framework for clustering a set of conceptual graphs characterized by sparse descriptions. The formed clusters are named in an intelligible manner thr...
Jean-Gabriel Ganascia, Julien Velcin
LREC
2010
197views Education» more  LREC 2010»
14 years 11 months ago
Automatic Annotation of Co-Occurrence Relations
We introduce a method for automatically labelling edges of word co-occurrence graphs with semantic relations. Therefore we only make use of training data already contained within ...
Dirk Goldhahn, Uwe Quasthoff
ICML
2010
IEEE
14 years 11 months ago
Bottom-Up Learning of Markov Network Structure
The structure of a Markov network is typically learned using top-down search. At each step, the search specializes a feature by conjoining it to the variable or feature that most ...
Jesse Davis, Pedro Domingos
GBRPR
2009
Springer
14 years 7 months ago
Electric Field Theory Motivated Graph Construction for Optimal Medical Image Segmentation
In this paper, we present a novel graph construction method and demonstrate its usage in a broad range of applications starting from a relatively simple single-surface segmentation...
Yin Yin, Qi Song, Milan Sonka
IGIS
1994
156views GIS» more  IGIS 1994»
15 years 2 months ago
Optimizing Spatial Data Structures For Static Data
During the last decade various spatial data structures have been designed and compared against each other, all of them re ecting a dynamic situation with ongoing object insertion a...
Lukas Bachmann, Bernd-Uwe Pagel, Hans-Werner Six