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» Semantic based image retrieval: a probabilistic approach
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103
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MICCAI
2009
Springer
16 years 3 months ago
A Generic Probabilistic Active Shape Model for Organ Segmentation
Probabilistic models are extensively used in medical image segmentation. Most of them employ parametric representations of densities and make idealizing assumptions, e.g. normal di...
Andreas Wimmer, Grzegorz Soza, Joachim Hornegger
ICDE
2011
IEEE
215views Database» more  ICDE 2011»
14 years 5 months ago
Top-k keyword search over probabilistic XML data
—Despite the proliferation of work on XML keyword query, it remains open to support keyword query over probabilistic XML data. Compared with traditional keyword search, it is far...
Jianxin Li, Chengfei Liu, Rui Zhou, Wei Wang
IVC
2007
176views more  IVC 2007»
15 years 1 months ago
Kernel-based distance metric learning for content-based image retrieval
ct 8 For a specific set of features chosen for representing images, the performance of a content-based image retrieval (CBIR) system 9 depends critically on the similarity or diss...
Hong Chang, Dit-Yan Yeung
99
Voted
WWW
2005
ACM
16 years 2 months ago
Clustering for probabilistic model estimation for CF
Based on the type of collaborative objects, a collaborative filtering (CF) system falls into one of two categories: item-based CF and user-based CF. Clustering is the basic idea i...
Qing Li, Byeong Man Kim, Sung-Hyon Myaeng
CG
2010
Springer
15 years 2 months ago
An evaluation of descriptors for large-scale image retrieval from sketched feature lines
We address the problem of fast, large scale sketch-based image retrieval, searching in a database of over one million images. We show that current retrieval methods do not scale w...
Mathias Eitz, Kristian Hildebrand, Tamy Boubekeur,...