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» Meaningful Change Detection in Structured Data
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BMCBI
2008
93views more  BMCBI 2008»
13 years 7 months ago
Using iterative cluster merging with improved gap statistics to perform online phenotype discovery in the context of high-throug
Background: The recent emergence of high-throughput automated image acquisition technologies has forever changed how cell biologists collect and analyze data. Historically, the in...
Zheng Yin, Xiaobo Zhou, Chris Bakal, Fuhai Li, You...
3DIM
2003
IEEE
14 years 27 days ago
A Discrete Reeb Graph Approach for the Segmentation of Human Body Scans
Segmentation of 3D human body (HB) scan is a very challenging problem in applications exploiting human scan data. To tackle this problem, this paper proposes a topological approac...
Yijun Xiao, Paul Siebert, Naoufel Werghi
FLAIRS
2010
13 years 10 months ago
Using a Graph-Based Approach for Discovering Cybercrime
The ability to mine data represented as a graph has become important in several domains for detecting various structural patterns. One important area of data mining is anomaly det...
William Eberle, Lawrence B. Holder, Jeffrey Graves
CGO
2004
IEEE
13 years 11 months ago
Exposing Memory Access Regularities Using Object-Relative Memory Profiling
Memory profiling is the process of characterizing a program's memory behavior by observing and recording its response to specific input sets. Relevant aspects of the program&...
Qiang Wu, Artem Pyatakov, Alexey Spiridonov, Easwa...
MOBICOM
2006
ACM
14 years 1 months ago
Boundary recognition in sensor networks by topological methods
Wireless sensor networks are tightly associated with the underlying environment in which the sensors are deployed. The global topology of the network is of great importance to bot...
Yue Wang, Jie Gao, Joseph S. B. Mitchell