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» New Algorithms for Statistical Analysis of Interval Data
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ICCV
2007
IEEE
16 years 7 months ago
Noise Robust Spectral Clustering
This paper aims to introduce the robustness against noise into the spectral clustering algorithm. First, we propose a warping model to map the data into a new space on the basis o...
Zhenguo Li, Jianzhuang Liu, Shifeng Chen, Xiaoou T...
158
Voted
ICMLA
2008
15 years 6 months ago
Automated Analysis for Detecting Beams in Laser Wakefield Simulations
Laser wakefield particle accelerators have shown the potential to generate electric fields thousands of times higher than those of conventional accelerators. The resulting extreme...
Daniela Mayumi Ushizima, Oliver Rübel, Prabha...
CIBCB
2008
IEEE
15 years 11 months ago
Very large scale ReliefF for genome-wide association analysis
— The genetic causes of many monogenic diseases have already been discovered. However, most common diseases are actually the result of complex nonlinear interactions between mult...
Margaret J. Eppstein, Paul Haake
172
Voted
BMCBI
2010
214views more  BMCBI 2010»
15 years 5 months ago
AutoSOME: a clustering method for identifying gene expression modules without prior knowledge of cluster number
Background: Clustering the information content of large high-dimensional gene expression datasets has widespread application in "omics" biology. Unfortunately, the under...
Aaron M. Newman, James B. Cooper
SDM
2007
SIAM
104views Data Mining» more  SDM 2007»
15 years 6 months ago
Boosting Optimal Logical Patterns Using Noisy Data
We consider the supervised learning of a binary classifier from noisy observations. We use smooth boosting to linearly combine abstaining hypotheses, each of which maps a subcube...
Noam Goldberg, Chung-chieh Shan