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» Collusion set detection using graph clustering
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BMCBI
2010
171views more  BMCBI 2010»
13 years 8 months ago
PyMix - The Python mixture package - a tool for clustering of heterogeneous biological data
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
Benjamin Georgi, Ivan Gesteira Costa, Alexander Sc...
DSN
2008
IEEE
14 years 3 months ago
Automated duplicate detection for bug tracking systems
Bug tracking systems are important tools that guide the maintenance activities of software developers. The utility of these systems is hampered by an excessive number of duplicate...
Nicholas Jalbert, Westley Weimer
EUROPAR
2005
Springer
14 years 2 months ago
A Scalable Parallel Graph Coloring Algorithm for Distributed Memory Computers
In large-scale parallel applications a graph coloring is often carried out to schedule computational tasks. In this paper, we describe a new distributedmemory algorithm for doing t...
Erik G. Boman, Doruk Bozdag, Ümit V. Ç...
ICPR
2008
IEEE
14 years 3 months ago
A robust front page detection algorithm for large periodical collections
Large-scale digitization projects aimed at periodicals often have as input streams of completely unlabeled document images. In such situations, the results produced by the automat...
Iuliu Vasile Konya, Christoph Seibert, Sebastian G...
PR
2006
122views more  PR 2006»
13 years 8 months ago
Fast multiscale clustering and manifold identification
We present a novel multiscale clustering algorithm inspired by algebraic multigrid techniques. Our method begins with assembling data points according to local similarities. It us...
Dan Kushnir, Meirav Galun, Achi Brandt