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ESANN
2007
15 years 3 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
CIVR
2008
Springer
125views Image Analysis» more  CIVR 2008»
15 years 3 months ago
Leveraging user query log: toward improving image data clustering
Image clustering is useful in many retrieval and classification applications. The main goal of image clustering is to partition a given dataset into salient clusters such that the...
Hao Cheng, Kien A. Hua, Khanh Vu
89
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CHI
2010
ACM
15 years 8 months ago
Tagliatelle: social tagging to encourage healthier eating
This paper describes the design and initial evaluation of Tag-liatelle, a collaborative tagging application for encouraging healthier eating. Users photograph their own meals and ...
Conor Linehan, Mark Doughty, Shaun Lawson, Ben Kir...
MIAR
2006
IEEE
15 years 7 months ago
Multi-scale Voxel-Based Morphometry Via Weighted Spherical Harmonic Representation
Although the voxel-based morphometry (VBM) has been widely used in quantifying the amount of gray matter of the human brain, the optimal amount of registration that should be used ...
Moo K. Chung, Li Shen, Kim M. Dalton, Richard J. D...
120
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CAIP
2009
Springer
142views Image Analysis» more  CAIP 2009»
15 years 8 months ago
Structure-Preserving Smoothing of Biomedical Images
Smoothing of biomedical images should preserve gray-level transitions between adjacent tissues, while restoring contours consistent with anatomical structures. Anisotropic diffusi...
Debora Gil, Aura Hernàndez-Sabaté, M...