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Evaluation of Filesystem Provenance Visualization Tools
(Institute of Electrical and Electronics Engineers, 2013)
Having effective visualizations of filesystem provenance data is valuable for understanding its complex hierarchical structure. The most common visual representation of provenance data is the node-link diagram. While ...
Exploring the Connectome: Petascale Volume Visualization of Microscopy Data Streams
(Institute of Electrical & Electronics Engineers (IEEE), 2013)
Recent advances in high-resolution microscopy let neuroscientists acquire neural-tissue volume data of extremely large sizes. However, the tremendous resolution and the high complexity of neural structures present big ...
Neural Process Reconstruction from Sparse User Scribbles
(Springer Verlag, 2011)
We present a novel semi-automatic method for segmenting neural processes in large, highly anisotropic EM (electron microscopy) image stacks. Our method takes advantage of sparse scribble annotations provided by the user ...
Massively Parallel Model of Extended Memory Use in Evolutionary Game Dynamics
(IEEE, 2013)
To study the emergence of cooperative behavior, we have developed a scalable parallel framework for evolutionary game dynamics. This is a critical computational tool enabling large-scale agent simulation research. An ...
Entourage: Visualizing Relationships between Biological Pathways using Contextual Subsets
(IEEE, 2013)
Biological pathway maps are highly relevant tools for many tasks in molecular biology. They reduce the complexity of the overall biological network by partitioning it into smaller manageable parts. While this reduction of ...
LineUp: Visual Analysis of Multi-Attribute Rankings
(Institute of Electrical and Electronics Engineers, 2013)
Rankings are a popular and universal approach to structuring otherwise unorganized collections of items by computing a rank for each item based on the value of one or more of its attributes. This allows us, for example, ...
Maximizing all margins: Pushing face recognition with Kernel Plurality
(IEEE, 2011)
We present two theses in this paper: First, performance of most existing face recognition algorithms improves if instead of the whole image, smaller patches are individually classified followed by label aggregation using ...
Radon-Like Features and their Application to Connectomics
(2011-08-22)
In this paper we present a novel class of so-called Radon-Like features, which allow for aggregation of spatially distributed image statistics into compact feature descriptors. Radon-Like features, which can be efficiently ...
Multi-Scale Capture of Facial Geometry and Motion
(Association for Computing Machinery, 2007)
We present a novel multi-scale representation and acquisition method for the animation of high-resolution facial geometry and wrinkles. We first acquire a static scan of the face including reflectance data at the highest ...
Exploring Defocus Matting: Nonparametric Acceleration, Super-Resolution, and Off-Center Matting
(Institute of Electrical and Electronics Engineers, 2007)
Defocus matting is a fully automatic and passive method for pulling mattes from video captured with coaxial cameras that have different depths of field and planes of focus. Nonparametric sampling can accelerate the ...