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» Learning and prediction of slip from visual information
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BMCBI
2007
217views more  BMCBI 2007»
13 years 4 months ago
On consensus biomarker selection
Background: Recent development of mass spectrometry technology enabled the analysis of complex peptide mixtures. A lot of effort is currently devoted to the identification of biom...
Janusz Dutkowski, Anna Gambin
BMCBI
2006
183views more  BMCBI 2006»
13 years 5 months ago
Mining gene expression data by interpreting principal components
Background: There are many methods for analyzing microarray data that group together genes having similar patterns of expression over all conditions tested. However, in many insta...
Joseph C. Roden, Brandon W. King, Diane Trout, Ali...
IIE
2007
120views more  IIE 2007»
13 years 4 months ago
Words are Silver, Mouse-Clicks are Gold? (or how to optimize the level of language formalization of young students in a Logo-bas
How do we teach children to express and communicate ideas in a formal and informal mode? What type of language do they need in a concrete context? How should they determine a prope...
Evgenia Sendova, Toni Chehlarova, Pavel Boytchev
JMLR
2010
147views more  JMLR 2010»
12 years 11 months ago
Image Denoising with Kernels Based on Natural Image Relations
A successful class of image denoising methods is based on Bayesian approaches working in wavelet representations. The performance of these methods improves when relations among th...
Valero Laparra, Juan Gutierrez, Gustavo Camps-Vall...