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ICML
2006
IEEE
16 years 4 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
15 years 10 months 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 8 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 3 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 4 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