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» Input Modeling Using Quantile Statistical Methods
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3DOR
2008
14 years 22 days ago
Markov Random Fields for Improving 3D Mesh Analysis and Segmentation
Mesh analysis and clustering have became important issues in order to improve the efficiency of common processing operations like compression, watermarking or simplification. In t...
Guillaume Lavoué, Christian Wolf
CSDA
2010
157views more  CSDA 2010»
13 years 10 months ago
Robust estimation of constrained covariance matrices for confirmatory factor analysis
Confirmatory factor analysis (CFA) is a data anylsis procedure that is widely used in social and behavioral sciences in general and other applied sciences that deal with large qua...
E. Dupuis Lozeron, M. P. Victoria-Feser
BMCBI
2010
139views more  BMCBI 2010»
13 years 10 months ago
PoGO: Prediction of Gene Ontology terms for fungal proteins
Background: Automated protein function prediction methods are the only practical approach for assigning functions to genes obtained from model organisms. Many of the previously re...
Jaehee Jung, Gangman Yi, Serenella A. Sukno, Micha...
BMCBI
2005
118views more  BMCBI 2005»
13 years 10 months ago
Feature selection and nearest centroid classification for protein mass spectrometry
Background: The use of mass spectrometry as a proteomics tool is poised to revolutionize early disease diagnosis and biomarker identification. Unfortunately, before standard super...
Ilya Levner
KDD
2012
ACM
201views Data Mining» more  KDD 2012»
12 years 23 days ago
Learning from crowds in the presence of schools of thought
Crowdsourcing has recently become popular among machine learning researchers and social scientists as an effective way to collect large-scale experimental data from distributed w...
Yuandong Tian, Jun Zhu