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GIR
2006
ACM
15 years 3 months ago
Inferring Geographical Ontologies from Multiple Resources for Geographical Information Retrieval
Many documents that can be found in the World Wide Web include some kind of geographical information, often in an implicit way. The use of resources like gazetteers and geographic...
Davide Buscaldi, Paolo Rosso, Piedachu Peris
LREC
2010
145views Education» more  LREC 2010»
14 years 11 months ago
Combining Resources: Taxonomy Extraction from Multiple Dictionaries
The idea that dictionaries are a good source for (computational) information has been around for a long while, and the extraction of taxonomic information from them is something t...
Rogelio Nazar, Maarten Janssen
KDD
2005
ACM
149views Data Mining» more  KDD 2005»
15 years 3 months ago
A distributed learning framework for heterogeneous data sources
We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...
Srujana Merugu, Joydeep Ghosh
BMCBI
2007
107views more  BMCBI 2007»
14 years 10 months ago
Progressive multiple sequence alignments from triplets
Motivation: The quality of progressive sequence alignments strongly depends on the accuracy of the individual pairwise alignment steps since gaps that are introduced at one step c...
Matthias Kruspe, Peter F. Stadler
ICCV
2009
IEEE
14 years 7 months ago
Incremental Multiple Kernel Learning for object recognition
A good training dataset, representative of the test images expected in a given application, is critical for ensuring good performance of a visual categorization system. Obtaining ...
Aniruddha Kembhavi, Behjat Siddiquie, Roland Miezi...