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BMCBI
2010
118views more  BMCBI 2010»
15 years 6 months ago
From learning taxonomies to phylogenetic learning: Integration of 16S rRNA gene data into FAME-based bacterial classification
Background: Machine learning techniques have shown to improve bacterial species classification based on fatty acid methyl ester (FAME) data. Nonetheless, FAME analysis has a limit...
Bram Slabbinck, Willem Waegeman, Peter Dawyndt, Pa...
181
Voted
CVPR
2009
IEEE
17 years 1 months ago
Epitomized Priors for Multi-labeling Problems
Image parsing remains difficult due to the need to combine local and contextual information when labeling a scene. We approach this problem by using the epitome as a prior over ...
Jonathan Warrell, Simon J. D. Prince, Alastair P. ...
ICCV
2007
IEEE
16 years 8 months ago
Learning Multiscale Representations of Natural Scenes Using Dirichlet Processes
We develop nonparametric Bayesian models for multiscale representations of images depicting natural scene categories. Individual features or wavelet coefficients are marginally de...
Jyri J. Kivinen, Erik B. Sudderth, Michael I. Jord...
ICAT
2003
IEEE
15 years 11 months ago
Interactive 3-D Visualization of Real Forests
Forest resource management systems and forest landscape visualization applications often need usersteered interactive displays of a forest landscape representing the underlying fo...
Qizhi Yu, Chongcheng Chen, Zhigeng Pan, Tianhe Chi
EDOC
2006
IEEE
15 years 10 months ago
Combining Analysis of Unstructured Workflows with Transformation to Structured Workflows
Abstract-- Analysis of workflows in terms of structural correctness is important for ensuring the quality of workflow models. Typically, this analysis is only one step in a larger ...
Rainer Hauser, Michael Friess, Jochen Malte Kü...