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ICML
2006
IEEE
16 years 7 months ago
R1-PCA: rotational invariant L1-norm principal component analysis for robust subspace factorization
Principal component analysis (PCA) minimizes the sum of squared errors (L2-norm) and is sensitive to the presence of outliers. We propose a rotational invariant L1-norm PCA (R1-PC...
Chris H. Q. Ding, Ding Zhou, Xiaofeng He, Hongyuan...
MICCAI
2007
Springer
16 years 12 days ago
Fast and Robust Analysis of Dynamic Contrast Enhanced MRI Datasets
Abstract. A fully automated method for quantitative analysis of dynamic contrast-enhanced MRI data acquired with low and high field scanners, using spin echo and gradient echo seq...
Olga Kubassova, Mikael Boesen, Roger D. Boyle, Mar...
MICCAI
1998
Springer
15 years 10 months ago
Robust Brain Segmentation Using Histogram Scale-Space Analysis and Mathematical Morphology
Abstract. In this paper, we propose a robust fully non-supervised method dedicated to the segmentation of the brain in T1-weighted MR images. The first step consists in the analysi...
Jean-Francois Mangin, Olivier Coulon, Vincent Frou...
IJSWIS
2006
107views more  IJSWIS 2006»
15 years 6 months ago
Knowledge-Assisted Image Analysis Based on Context and Spatial Optimization
In this article, an approach to semantic image analysis is presented. Under the proposed approach, ontologiesareusedtocapturegeneral,spatial,andcontextualknowledgeofadomain,andage...
Georgios Th. Papadopoulos, Phivos Mylonas, Vasilei...
BMCBI
2008
103views more  BMCBI 2008»
15 years 6 months ago
Parameter estimation for robust HMM analysis of ChIP-chip data
Background: Tiling arrays are an important tool for the study of transcriptional activity, proteinDNA interactions and chromatin structure on a genome-wide scale at high resolutio...
Peter Humburg, David Bulger, Glenn Stone