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ICML
2008
IEEE
16 years 7 months ago
Discriminative parameter learning for Bayesian networks
Bayesian network classifiers have been widely used for classification problems. Given a fixed Bayesian network structure, parameters learning can take two different approaches: ge...
Jiang Su, Harry Zhang, Charles X. Ling, Stan Matwi...
164
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ISBI
2004
IEEE
16 years 7 months ago
Hierarchical Segmentation of Multiple Sclerosis Lesions in Multi-Sequence MRI
Automatic segmentation of multiple sclerosis lesions in magnetic resonance images remains a challenging task. In this study, we present a fully automatic method to extract lesions...
Guillaume Dugas-Phocion, Miguel Ángel Gonz&...
ISBI
2008
IEEE
16 years 7 months ago
Vectorial multi-phase mouse brain tumor segmentation in T1-T2 MRI
An automated, level-set based, segmentation framework is proposed in this work for computation of tumoral volumes on mice brain bearing gliomal tumors. T1 and T2 weighted MRI imag...
Vincent Israel-Jost, E. Breton, Elsa D. Angelini, ...
ECIR
2009
Springer
16 years 3 months ago
Exploiting Flickr Tags and Groups for Finding Landmark Photos
Many people take pictures of different city landmarks and post them to photo-sharing systems like Flickr. They also add tags and place photos in Flickr groups, created around parti...
Rabeeh Abbasi, Sergey Chernov, Wolfgang Nejdl, Ral...
CEC
2009
IEEE
16 years 1 months ago
Mining an optimal prototype from a periodic time series: An evolutionary computation-based approach
— The mining of meaningful shapes of time series is done widely in order to find shapes that can be used, for example, in classification problems or in summarizing signals. Nor...
Pekka Siirtola, Perttu Laurinen, Juha Röning