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» An Auxiliary Variational Method
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184
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JMM2
2007
148views more  JMM2 2007»
15 years 6 months ago
Object Segmentation Using Background Modelling and Cascaded Change Detection
— The automatic extraction and analysis of visual information is becoming generalised. The first step in this processing chain is usually separating or segmenting the captured v...
Luís Filipe Teixeira, Jaime S. Cardoso, Lu&...
VC
2008
126views more  VC 2008»
15 years 6 months ago
Efficient reconstruction from non-uniform point sets
Abstract We propose a method for non-uniform reconstruction of 3D scalar data. Typically, radial basis functions, trigonometric polynomials or shift-invariant functions are used in...
Erald Vuçini, Torsten Möller, M. Eduar...
ML
2007
ACM
144views Machine Learning» more  ML 2007»
15 years 6 months ago
Invariant kernel functions for pattern analysis and machine learning
In many learning problems prior knowledge about pattern variations can be formalized and beneficially incorporated into the analysis system. The corresponding notion of invarianc...
Bernard Haasdonk, Hans Burkhardt
171
Voted
KI
2010
Springer
15 years 5 months ago
Soft Evidential Update via Markov Chain Monte Carlo Inference
The key task in probabilistic reasoning is to appropriately update one’s beliefs as one obtains new information in the form of evidence. In many application settings, however, th...
Dominik Jain, Michael Beetz
215
Voted
MICCAI
2010
Springer
15 years 5 months ago
Incremental Shape Statistics Learning for Prostate Tracking in TRUS
Abstract. Automatic delineation of the prostate boundary in transrectal ultrasound (TRUS) can play a key role in image-guided prostate intervention. However, it is a very challengi...
Pingkun Yan, Jochen Kruecker