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» Enriching very large ontologies using the WWW
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WWW
2011
ACM
13 years 2 months ago
Parallel boosted regression trees for web search ranking
Gradient Boosted Regression Trees (GBRT) are the current state-of-the-art learning paradigm for machine learned websearch ranking — a domain notorious for very large data sets. ...
Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal...
CVPR
2012
IEEE
11 years 10 months ago
Online robust image alignment via iterative convex optimization
In this paper we study the problem of online aligning a newly arrived image to previously well-aligned images. Inspired by recent advances in batch image alignment using low rank ...
Yi Wu, Bin Shen, Haibin Ling
WWW
2003
ACM
14 years 8 months ago
On deep annotation
The success of the Semantic Web crucially depends on the easy creation, integration and use of semantic data. For this purpose, we consider an integration scenario that defies cor...
Siegfried Handschuh, Steffen Staab, Raphael Volz
ECEH
2007
98views Healthcare» more  ECEH 2007»
13 years 9 months ago
Integrating Context Information in a Mobile Environment using the eSana Framework
: Mobile devices are becoming ubiquitous in everyday’s life, their popularity and place independence are reasons for using these devices in different areas. One such area is elec...
Marco Savini, Henrik Stormer, Andreas Meier
BICOB
2009
Springer
13 years 5 months ago
A Biclustering Method to Discover Co-regulated Genes Using Diverse Gene Expression Datasets
We propose a two-step biclustering approach to mine co-regulation patterns of a given reference gene to discover other genes that function in a common biological process. Currently...
Doruk Bozdag, Jeffrey D. Parvin, Ümit V. &Cce...