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IJCAI
2001
14 years 3 days ago
Probabilistic Classification and Clustering in Relational Data
Supervised and unsupervised learning methods have traditionally focused on data consisting of independent instances of a single type. However, many real-world domains are best des...
Benjamin Taskar, Eran Segal, Daphne Koller
NAR
2008
78views more  NAR 2008»
13 years 10 months ago
InParanoid 6: eukaryotic ortholog clusters with inparalogs
The InParanoid eukaryotic ortholog database (http://InParanoid.sbc.su.se/) has been updated to version 6 and is now based on 35 species. We collected all available `complete'...
Ann-Charlotte Berglund, Erik Sjölund, Gabriel...
CIDU
2010
13 years 8 months ago
Multi-label ASRS Dataset Classification Using Semi Supervised Subspace Clustering
There has been a lot of research targeting text classification. Many of them focus on a particular characteristic of text data - multi-labelity. This arises due to the fact that a ...
Mohammad Salim Ahmed, Latifur Khan, Nikunj C. Oza,...
CVPR
2001
IEEE
15 years 23 days ago
Local Feature View Clustering for 3D Object Recognition
There have been important recent advances in object recognition through the matching of invariant local image features. However, the existing approaches are based on matching to i...
David G. Lowe
SIGMOD
2007
ACM
190views Database» more  SIGMOD 2007»
14 years 11 months ago
Map-reduce-merge: simplified relational data processing on large clusters
Map-Reduce is a programming model that enables easy development of scalable parallel applications to process vast amounts of data on large clusters of commodity machines. Through ...
Hung-chih Yang, Ali Dasdan, Ruey-Lung Hsiao, Dougl...