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ER
2008
Springer
108views Database» more  ER 2008»
13 years 8 months ago
Automatic Extraction of Structurally Coherent Mini-Taxonomies
In this paper we demonstrate an automatic approach for emergent semantics modeling of ontologies. We follow the collaborative ontology construction method without the direct intera...
Khalid Saleem, Zohra Bellahsene
ECAI
2008
Springer
13 years 8 months ago
Multilingual Evidence Improves Clustering-based Taxonomy Extraction
We present a system for taxonomy extraction, aimed at providing a taxonomic backbone in an ontology learning environment. We follow previous research in using hierarchical clusteri...
Hans Hjelm, Paul Buitelaar
JMLR
2012
11 years 8 months ago
Deep Boltzmann Machines as Feed-Forward Hierarchies
The deep Boltzmann machine is a powerful model that extracts the hierarchical structure of observed data. While inference is typically slow due to its undirected nature, we argue ...
Grégoire Montavon, Mikio L. Braun, Klaus-Ro...
CVPR
2011
IEEE
1473views Computer Vision» more  CVPR 2011»
13 years 2 months ago
Object Recognition with Hierarchical Kernel Descriptors
Kernel descriptors provide a unified way to generate rich visual feature sets by turning pixel attributes into patch-level features, and yield impressive results on many object rec...
Liefeng Bo, Kevin Lai, Xiaofeng Ren and Dieter Fox
EMNLP
2009
13 years 4 months ago
Hypernym Discovery Based on Distributional Similarity and Hierarchical Structures
This paper presents a new method of developing a large-scale hyponymy relation database by combining Wikipedia and other Web documents. We attach new words to the hyponymy databas...
Ichiro Yamada, Kentaro Torisawa, Jun'ichi Kazama, ...