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» Robust estimation for sparse data
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BILDMED
2007
148views Algorithms» more  BILDMED 2007»
15 years 3 months ago
Bayesian Vessel Extraction for Planning of Radiofrequency-Ablation
The software-assisted planning of radiofrequency-ablation of liver tumors calls for robust and fast methods to segment the tumor and surrounding vascular structures from clinical d...
Stephan Zidowitz, Johann Drexl, Tim Kröger, T...
FOCM
2011
188views more  FOCM 2011»
14 years 5 months ago
Compressive Wave Computation
This paper considers large-scale simulations of wave propagation phenomena. We argue that it is possible to accurately compute a wavefield by decomposing it onto a largely incomp...
Laurent Demanet, Gabriel Peyré
CORR
2010
Springer
249views Education» more  CORR 2010»
15 years 1 months ago
Performance Analysis of Spectral Clustering on Compressed, Incomplete and Inaccurate Measurements
Spectral clustering is one of the most widely used techniques for extracting the underlying global structure of a data set. Compressed sensing and matrix completion have emerged a...
Blake Hunter, Thomas Strohmer
CVPR
2012
IEEE
13 years 4 months ago
Fixed-rank representation for unsupervised visual learning
Subspace clustering and feature extraction are two of the most commonly used unsupervised learning techniques in computer vision and pattern recognition. State-of-theart technique...
Risheng Liu, Zhouchen Lin, Fernando De la Torre, Z...
CVPR
1998
IEEE
16 years 3 months ago
Incorporating Illumination Constraints in Deformable Models
In this paper we present a method for the integration of nonlinear holonomic constraints in deformable models and its application to the problems of shape and illuminant direction...
Dimitris Samaras, Dimitris N. Metaxas