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» Advances in constrained clustering
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ECCV
2010
Springer
14 years 6 days ago
Learning Shape Segmentation Using Constrained Spectral Clustering and Probabilistic Label Transfer
We propose a spectral learning approach to shape segmentation. The method is composed of a constrained spectral clustering algorithm that is used to supervise the segmentation of a...
ICIP
2008
IEEE
14 years 4 months ago
Connected filtering by reconstruction: Basis and new advances
Openings-by-reconstruction are the oldest connected filters, and indeed, reconstruction methodology lies at the heart of many connected operators such as levelings. Starting out ...
Michael H. F. Wilkinson
CN
2007
111views more  CN 2007»
13 years 9 months ago
Advances in smart cards
Since the turn of the century, smart card technology has pushed its borders both on the high end to integrate new functionalities (e.g., networking) and on the low end to adapt to...
Josep Domingo-Ferrer, Joachim Posegga, Francesc Se...
ICCV
2011
IEEE
12 years 9 months ago
Source Constrained Clustering
We consider the problem of quantizing data generated from disparate sources, e.g. subjects performing actions with different styles, movies with particular genre bias, various con...
Ekaterina Taralova, Fernando DelaTorre, Martial He...
EVOW
2007
Springer
14 years 4 months ago
Robust Peak Detection and Alignment of nanoLC-FT Mass Spectrometry Data
In liquid chromatography-mass spectrometry (LC-MS) based expression proteomics, samples from different groups are analyzed comparatively in order to detect differences that can p...
Marius C. Codrea, Connie R. Jimenez, Sander R. Pie...