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» Improved Segmentation Based on Probabilistic Labeling
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MLG
2007
Springer
14 years 2 months ago
Abductive Stochastic Logic Programs for Metabolic Network Inhibition Learning
Abstract. We revisit an application developed originally using Inductive Logic Programming (ILP) by replacing the underlying Logic Program (LP) description with Stochastic Logic Pr...
Jianzhong Chen, Stephen Muggleton, Jose Santos
SIGIR
2005
ACM
14 years 2 months ago
A database centric view of semantic image annotation and retrieval
We introduce a new model for semantic annotation and retrieval from image databases. The new model is based on a probabilistic formulation that poses annotation and retrieval as c...
Gustavo Carneiro, Nuno Vasconcelos
ICIP
2008
IEEE
14 years 10 months ago
Voting-based active contour segmentation of fMRI images of the brain
We propose an algorithm for automated segmentation of white matter in brain MRI images, which can be used to create connected representations of the gray matter in the cerebral co...
Gowri Srinivasa, Vivek S. Oak, Siddharth J. Garg, ...
ICPR
2010
IEEE
14 years 1 months ago
Forest Species Recognition Using Color-Based Features
In this work we address the problem of forest species recognition which is a very challenging task and has several potential applications in the wood industry. The first contribu...
Pedro Luiz Paula, Luiz Oliveira, Alceu Britto, R. ...
ICASSP
2009
IEEE
14 years 3 months ago
Incorporating spectral subtraction and noise type for unvoiced speech segregation
Unvoiced speech poses a big challenge to current monaural speech segregation systems. It lacks harmonic structure and is highly susceptible to interference due to its relatively w...
Ke Hu, DeLiang Wang