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SOFSEM
1999
Springer
14 years 3 days ago
Coherent Concepts, Robust Learning
We study learning scenarios in which multiple learners are involved and “nature” imposes some constraints that force the predictions of these learners to behave coherently. Thi...
Dan Roth, Dmitry Zelenko
CBMS
2005
IEEE
13 years 9 months ago
Local Dimensionality Reduction within Natural Clusters for Medical Data Analysis
Inductive learning systems have been successfully applied in a number of medical domains. Nevertheless, the effective use of these systems requires data preprocessing before apply...
Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen
CVPR
2012
IEEE
11 years 10 months ago
Unsupervised feature learning framework for no-reference image quality assessment
In this paper, we present an efficient general-purpose objective no-reference (NR) image quality assessment (IQA) framework based on unsupervised feature learning. The goal is to...
Peng Ye, Jayant Kumar, Le Kang, David S. Doermann
ISBI
2011
IEEE
12 years 11 months ago
Segmentation of anatomical branching structures based on texture features and graph cut
Segmentation of tree-like structure within medical imaging modalities, such as x-ray, MRI, ultrasound, etc., is an important step for analyzing branching patterns involved in many...
Tatyana Nuzhnaya, Erkang Cheng, Haibin Ling, Despi...
NIPS
2008
13 years 9 months ago
The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction
Bandpass filtering, orientation selectivity, and contrast gain control are prominent features of sensory coding at the level of V1 simple cells. While the effect of bandpass filte...
Fabian H. Sinz, Matthias Bethge