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» Testing Properties of Sparse Images
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CVPR
2007
IEEE
16 years 3 months ago
A boosting regression approach to medical anatomy detection
The state-of-the-art object detection algorithm learns a binary classifier to differentiate the foreground object from the background. Since the detection algorithm exhaustively s...
Shaohua Kevin Zhou, Jinghao Zhou, Dorin Comaniciu
119
Voted
MICCAI
2008
Springer
16 years 3 months ago
LV Motion and Strain Computation from tMRI Based on Meshless Deformable Models
Tagged Magnetic Resonance Imaging (tMRI) is a non-invasive way of tracking the in-vivo myocardial motion during cardiac cycles. Tags are material points which deform along the myo...
Xiaoxu Wang, Ting Chen, Shaoting Zhang, Dimitri...
HVEI
2010
15 years 2 months ago
Preference for art: similarity, statistics, and selling price
Factors governing human preference for artwork have long been studied but there remain many holes in our understanding. Bearing in mind contextual factors (both the conditions und...
Daniel J. Graham, Jay D. Friedenberg, Cyrus H. McC...
BMCBI
2006
118views more  BMCBI 2006»
15 years 1 months ago
Microarray image analysis: background estimation using quantile and morphological filters
Background: In a microarray experiment the difference in expression between genes on the same slide is up to 103 fold or more. At low expression, even a small error in the estimat...
Anders Bengtsson, Henrik Bengtsson
151
Voted
NIPS
2004
15 years 3 months ago
Hierarchical Eigensolver for Transition Matrices in Spectral Methods
We show how to build hierarchical, reduced-rank representation for large stochastic matrices and use this representation to design an efficient algorithm for computing the largest...
Chakra Chennubhotla, Allan D. Jepson