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BMCBI
2005
94views more  BMCBI 2005»
14 years 11 months ago
Reproducible Clusters from Microarray Research: Whither?
Motivation: In cluster analysis, the validity of specific solutions, algorithms, and procedures present significant challenges because there is no null hypothesis to test and no &...
Nikhil R. Garge, Grier P. Page, Alan P. Sprague, B...
BMCBI
2007
152views more  BMCBI 2007»
14 years 12 months ago
Difference-based clustering of short time-course microarray data with replicates
Background: There are some limitations associated with conventional clustering methods for short time-course gene expression data. The current algorithms require prior domain know...
Jihoon Kim, Ju Han Kim
BMCBI
2006
164views more  BMCBI 2006»
14 years 11 months ago
Evaluation of clustering algorithms for gene expression data
Background: Cluster analysis is an integral part of high dimensional data analysis. In the context of large scale gene expression data, a filtered set of genes are grouped togethe...
Susmita Datta, Somnath Datta
MICCAI
2010
Springer
14 years 10 months ago
Incorporating Priors on Expert Performance Parameters for Segmentation Validation and Label Fusion: A Maximum a Posteriori STAPL
Abstract. In order to evaluate the quality of segmentations of an image and assess intra- and inter-expert variability in segmentation performance, an Expectation Maximization (EM)...
Olivier Commowick, Simon K. Warfield
ICIP
1998
IEEE
16 years 1 months ago
Automatic Spatio-Temporal Video Sequence Segmentation
In the paper, an automatic spatio-temporal video sequence segmentation algorithm is proposed. To address this very di cult computer vision problem, several novel algorithms have b...
Jozsef Vass, Kannappan Palaniappan, Xinhua Zhuang