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ML
2010
ACM
151views Machine Learning» more  ML 2010»
14 years 8 months ago
Inductive transfer for learning Bayesian networks
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
Roger Luis, Luis Enrique Sucar, Eduardo F. Morales
ICCV
2007
IEEE
15 years 12 months ago
Learning 3-D Scene Structure from a Single Still Image
We consider the problem of estimating detailed 3-d structure from a single still image of an unstructured environment. Our goal is to create 3-d models which are both quantitative...
Ashutosh Saxena, Min Sun, Andrew Y. Ng
EDBT
2008
ACM
137views Database» more  EDBT 2008»
15 years 10 months ago
Synthesizing structured text from logical database subsets
In the classical database world, information access has been based on a paradigm that involves structured, schema-aware, queries and tabular answers. In the current environment, h...
Alkis Simitsis, Georgia Koutrika, Yannis Alexandra...
GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
15 years 3 months ago
Parameterized versus generative representations in structural design: an empirical comparison
Any computational approach to design, including the use of evolutionary algorithms, requires the transformation of the domain-specific knowledge into a formal design representatio...
Rafal Kicinger, Tomasz Arciszewski, Kenneth A. De ...
BMCBI
2005
60views more  BMCBI 2005»
14 years 10 months ago
PHACCS, an online tool for estimating the structure and diversity of uncultured viral communities using metagenomic information
Background: Phages, viruses that infect prokaryotes, are the most abundant microbes in the world. A major limitation to studying these viruses is the difficulty of cultivating the...
Florent Angly, Beltran Rodriguez-Brito, David Bang...