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ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
16 years 4 months ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer
99
Voted
BMCBI
2010
161views more  BMCBI 2010»
14 years 12 months ago
GeneMesh: a web-based microarray analysis tool for relating differentially expressed genes to MeSH terms
Background: An important objective of DNA microarray-based gene expression experimentation is determining interrelationships that exist between differentially expressed genes and ...
Saurin D. Jani, Gary L. Argraves, Jeremy L. Barth,...
COLT
1995
Springer
15 years 3 months ago
Regression NSS: An Alternative to Cross Validation
The Noise Sensitivity Signature (NSS), originally introduced by Grossman and Lapedes (1993), was proposed as an alternative to cross validation for selecting network complexity. I...
Michael P. Perrone, Brian S. Blais
IPMI
2007
Springer
15 years 6 months ago
Joint Sulci Detection Using Graphical Models and Boosted Priors
In this paper we propose an automated approach for joint sulci detection on cortical surfaces by using graphical models and boosting techniques to incorporate shape priors of major...
Yonggang Shi, Zhuowen Tu, Allan L. Reiss, Rebecca ...
TVCG
2011
198views more  TVCG 2011»
14 years 6 months ago
Forecasting Hotspots - A Predictive Analytics Approach
—Current visual analytics systems provide users with the means to explore trends in their data. Linked views and interactive displays provide insight into correlations among peop...
Ross Maciejewski, Ryan Hafen, Stephen Rudolph, Ste...