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ISVC
2009
Springer
16 years 21 days ago
Adaptive Contextual Energy Parameterization for Automated Image Segmentation
Image segmentation techniques are predominately based on parameter-laden optimization processes. The segmentation objective function traditionally involves parameters (i.e. weights...
Josna Rao, Ghassan Hamarneh, Rafeef Abugharbieh
SCALESPACE
2009
Springer
16 years 21 days ago
PDE-Driven Adaptive Morphology for Matrix Fields
Matrix fields are important in many applications since they are the adequate means to describe anisotropic behaviour in image processing models and physical measurements. A promin...
Bernhard Burgeth, Michael Breuß, Luis Pizarr...
ACMSE
2006
ACM
16 years 4 days ago
Assessing denial of service vulnerabilities in DOCSIS
In previous work a DOCSIS model was added to ‘ns’ to allow simulations to be run to analyze the performance of DOCSIS. These simulations showed that congestion caused by the a...
Scott Moser, Jim Martin
ICDM
2005
IEEE
190views Data Mining» more  ICDM 2005»
15 years 11 months ago
Neighborhood Formation and Anomaly Detection in Bipartite Graphs
Many real applications can be modeled using bipartite graphs, such as users vs. files in a P2P system, traders vs. stocks in a financial trading system, conferences vs. authors ...
Jimeng Sun, Huiming Qu, Deepayan Chakrabarti, Chri...
VISUALIZATION
2005
IEEE
15 years 11 months ago
Statistically Quantitative Volume Visualization
Visualization users are increasingly in need of techniques for assessing quantitative uncertainty and error in the images produced. Statistical segmentation algorithms compute the...
Joe Michael Kniss, Robert L. Van Uitert Jr., Abrah...