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ICASSP
2010
IEEE
13 years 6 months ago
Swift: Scalable weighted iterative sampling for flow cytometry clustering
Flow cytometry (FC) is a powerful technology for rapid multivariate analysis and functional discrimination of cells. Current FC platforms generate large, high-dimensional datasets...
Iftekhar Naim, Suprakash Datta, Gaurav Sharma, Jam...
CGF
2010
182views more  CGF 2010»
13 years 5 months ago
A Data-driven Segmentation for the Shoulder Complex
The human shoulder complex is perhaps the most complicated joint in the human body being comprised of a set of three bones, muscles, tendons, and ligaments. Despite this anatomica...
Q. Youn Hong, Sang Il Park, Jessica K. Hodgins
NIPS
2003
13 years 8 months ago
Learning the k in k-means
When clustering a dataset, the right number k of clusters to use is often not obvious, and choosing k automatically is a hard algorithmic problem. In this paper we present an impr...
Greg Hamerly, Charles Elkan
TOG
2002
212views more  TOG 2002»
13 years 6 months ago
Least squares conformal maps for automatic texture atlas generation
A Texture Atlas is an efficient color representation for 3D Paint Systems. The model to be textured is decomposed into charts homeomorphic to discs, each chart is parameterized, a...
Bruno Lévy, Sylvain Petitjean, Nicolas Ray,...
NIPS
2007
13 years 8 months ago
Expectation Maximization and Posterior Constraints
The expectation maximization (EM) algorithm is a widely used maximum likelihood estimation procedure for statistical models when the values of some of the variables in the model a...
João Graça, Kuzman Ganchev, Ben Task...