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VISSYM
2007
15 years 9 months ago
See What You Know: Analyzing Data Distribution to Improve Density Map Visualization
Density maps allow for visually rendering density differences, usually mapping density values to a grey or color scale. The paper analyzes the drawbacks arising from the commonly ...
Enrico Bertini, Alessio Di Girolamo, Giuseppe Sant...
ISVC
2009
Springer
16 years 1 months 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
TIP
2008
169views more  TIP 2008»
15 years 6 months ago
Efficient Nonlocal Means for Denoising of Textural Patterns
The present paper contributes two novel techniques in the context of image restoration by nonlocal filtering. Firstly, we introduce an efficient implementation of the nonlocal mean...
Thomas Brox, Oliver Kleinschmidt, Daniel Cremers
HISB
2011
111views more  HISB 2011»
14 years 6 months ago
Spinal Cord Segmentation for Volume Estimation in Healthy and Multiple Sclerosis Subjects Using Crawlers and Minimal Paths
—Spinal cord analysis is an important problem in the study of various neurological diseases. Current segmentation and analysis methods in clinical use are slow and laborintensive...
Chris McIntosh, Ghassan Hamarneh, Matthew Toom, Ro...
BMCBI
2007
116views more  BMCBI 2007»
15 years 6 months ago
Ranked Adjusted Rand: integrating distance and partition information in a measure of clustering agreement
Background: Biological information is commonly used to cluster or classify entities of interest such as genes, conditions, species or samples. However, different sources of data c...
Francisco R. Pinto, João A. Carriço,...