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ICASSP
2010
IEEE
14 years 9 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...
ICDM
2002
IEEE
191views Data Mining» more  ICDM 2002»
15 years 2 months ago
Iterative Clustering of High Dimensional Text Data Augmented by Local Search
The k-means algorithm with cosine similarity, also known as the spherical k-means algorithm, is a popular method for clustering document collections. However, spherical k-means ca...
Inderjit S. Dhillon, Yuqiang Guan, J. Kogan
BIRTHDAY
1997
Springer
15 years 1 months ago
Controlled Fuzzy Parallel Rewriting
We study a Lindenmayer-like parallel rewriting system to model the growth of filaments (arrays of cells) in which developmental errors may occur. In essence this model is the fuzz...
Peter R. J. Asveld
MAGS
2006
79views more  MAGS 2006»
14 years 9 months ago
Utilizing node's selfishness for providing complete anonymity in peer-to-peer based grids
In this paper, a novel protocol for providing both client and server anonymity in peer-to-peer (P2P) based grids is presented. The protocol assumes individual nodes or users to be...
Rohit Gupta, Souvik Ray, Arun K. Somani, Zhao Zhan...
ACL
1998
14 years 11 months ago
Feature Lattices for Maximum Entropy Modelling
Maximum entropy framework proved to be expressive and powerful for the statistical language modelling, but it suffers from the computational expensiveness of the model building. T...
Andrei Mikheev