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» Learning from Highly Structured Data by Decomposition
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ECIR
2008
Springer
14 years 11 months ago
Filaments of Meaning in Word Space
Word space models, in the sense of vector space models built on distributional data taken from texts, are used to model semantic relations between words. We argue that the high dim...
Jussi Karlgren, Anders Holst, Magnus Sahlgren
CVPR
2007
IEEE
15 years 12 months ago
The Hierarchical Isometric Self-Organizing Map for Manifold Representation
We present an algorithm, Hierarchical ISOmetric SelfOrganizing Map (H-ISOSOM), for a concise, organized manifold representation of complex, non-linear, large scale, high-dimension...
Haiying Guan, Matthew Turk
ACL
2008
14 years 11 months ago
Semantic Class Learning from the Web with Hyponym Pattern Linkage Graphs
We present a novel approach to weakly supervised semantic class learning from the web, using a single powerful hyponym pattern combined with graph structures, which capture two pr...
Zornitsa Kozareva, Ellen Riloff, Eduard H. Hovy
3DIM
2003
IEEE
15 years 1 months ago
Efficient Surface Reconstruction from Range Curves
This paper proposes an approach for surface reconstruction of free-form rigid objects from an arbitrary set of intersecting range curves. A strategy for updating the reconstructed...
Dragan Tubic, Patrick Hébert, Denis Laurend...
CVPR
2009
IEEE
16 years 5 months ago
A Min-Max Framework of Cascaded Classifier with Multiple Instance Learning for Computer Aided Diagnosis
The computer aided diagnosis (CAD) problems of detecting potentially diseased structures from medical images are typically distinguished by the following challenging characterist...
Dijia Wu (Rensselaer Polytechnic Institute), Jinbo...