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» Level set image segmentation with Bayesian analysis
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106
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BMCBI
2010
113views more  BMCBI 2010»
14 years 10 months ago
Probabilistic Principal Component Analysis for Metabolomic Data
Background: Data from metabolomic studies are typically complex and high-dimensional. Principal component analysis (PCA) is currently the most widely used statistical technique fo...
Gift Nyamundanda, Lorraine Brennan, Isobel Claire ...
CIVR
2007
Springer
166views Image Analysis» more  CIVR 2007»
15 years 5 months ago
Multi-level local descriptor quantization for bag-of-visterms image representation
In the past, quantized local descriptors have been shown to be a good base for the representation of images, that can be applied to a wide range of tasks. However, current approac...
Pedro Quelhas, Jean-Marc Odobez
IMAGING
2003
15 years 14 days ago
Using Colour to Model Outliers
Computer vision applications are able to model and reconstruct three dimensional scenes from several pictures. In this work, we are interested in the group of algorithm that regis...
David Hasler, Sabine Süsstrunk
CVPR
2010
IEEE
15 years 7 months ago
Disambiguating Visual Relations Using Loop Constraints
Repetitive and ambiguous visual structures in general pose a severe problem in many computer vision applications. Identification of incorrect geometric relations between images s...
Christopher Zach, Manfred Klopschitz, Marc Pollefe...
78
Voted
JMIV
2006
128views more  JMIV 2006»
14 years 11 months ago
General Adaptive Neighborhood Image Processing:
The so-called General Adaptive Neighborhood Image Processing (GANIP) approach is presented in a two parts paper dealing respectively with its theoretical and practical aspects. The...
Johan Debayle, Jean-Charles Pinoli