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146
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ICML
2010
IEEE
15 years 5 months ago
Local Minima Embedding
Dimensionality reduction is a commonly used step in many algorithms for visualization, classification, clustering and modeling. Most dimensionality reduction algorithms find a low...
Minyoung Kim, Fernando De la Torre
142
Voted
CGF
2008
137views more  CGF 2008»
15 years 4 months ago
Interaction-Dependent Semantics for Illustrative Volume Rendering
In traditional illustration the choice of appropriate styles and rendering techniques is guided by the intention of the artist. For illustrative volume visualizations it is diffic...
Peter Rautek, Stefan Bruckner, M. Eduard Gröl...
CGF
2008
203views more  CGF 2008»
15 years 4 months ago
Virtual Klingler Dissection: Putting Fibers into Context
Fiber tracking is a standard tool to estimate the course of major white matter tracts from diffusion tensor magnetic resonance imaging (DT-MRI) data. In this work, we aim at suppo...
Thomas Schultz, Natascha Sauber, Alfred Anwander, ...
PR
2007
96views more  PR 2007»
15 years 4 months ago
Weighted and robust learning of subspace representations
A reliable system for visual learning and recognition should enable a selective treatment of individual parts of input data and should successfully deal with noise and occlusions....
Danijel Skocaj, Ales Leonardis, Horst Bischof
CACM
2010
161views more  CACM 2010»
15 years 2 months ago
Efficiently searching for similar images
As it becomes increasingly viable to capture, store, and share large amounts of image and video data, automatic image analysis is crucial to managing visual information. Many prob...
Kristen Grauman