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» Significance-Driven Graph Clustering
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ICPR
2006
IEEE
16 years 5 months ago
Multiple Objects Tracking with Multiple Hypotheses Graph Representation
We present a novel multi-object tracking algorithm based on multiple hypotheses about the trajectories of the objects. Our work is inspired by Reid's multiple hypothesis trac...
Alex Yong Sang Chia, Liyuan Li, Weimin Huang
ASAP
2010
IEEE
143views Hardware» more  ASAP 2010»
15 years 6 months ago
Loop transformations for interface-based hierarchies IN SDF graphs
Data-flow has proven to be an attractive computation model for programming digital signal processing (DSP) applications. A restricted version of data-flow, termed synchronous data...
Jonathan Piat, Shuvra S. Bhattacharyya, Mickaë...
ICDT
2009
ACM
150views Database» more  ICDT 2009»
16 years 5 months ago
Optimizing user views for workflows
A technique called user views has recently been proposed to focus user attention on relevant information in response to provenance queries over workflow executions [1, 2]: Given u...
Olivier Biton, Susan B. Davidson, Sanjeev Khanna, ...
ICSM
2005
IEEE
15 years 10 months ago
Co-Change Visualization
Clustering layouts of software systems combine two important aspects: they reveal groups of related artifacts of the software system, and they produce a visualization of the resul...
Dirk Beyer
BIBE
2007
IEEE
195views Bioinformatics» more  BIBE 2007»
15 years 10 months ago
Finding Clusters of Positive and Negative Coregulated Genes in Gene Expression Data
— In this paper, we propose a system for finding partial positive and negative coregulated gene clusters in microarray data. Genes are clustered together if they show the same p...
Kerstin Koch, Stefan Schönauer, Ivy Jansen, J...