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ECCV
2002
Springer
16 years 8 months ago
Nonlinear Shape Statistics in Mumford-Shah Based Segmentation
We present a variational integration of nonlinear shape statistics into a Mumford?Shah based segmentation process. The nonlinear statistics are derived from a set of training silho...
Christoph Schnörr, Daniel Cremers, Timo Kohlb...
MICCAI
2009
Springer
16 years 8 months ago
A Generic Probabilistic Active Shape Model for Organ Segmentation
Probabilistic models are extensively used in medical image segmentation. Most of them employ parametric representations of densities and make idealizing assumptions, e.g. normal di...
Andreas Wimmer, Grzegorz Soza, Joachim Hornegger
SAS
2009
Springer
171views Formal Methods» more  SAS 2009»
16 years 7 months ago
Bottom-Up Shape Analysis
In this paper we present a new shape analysis algorithm. The key distinguishing aspect of our algorithm is that it is completely compositional, bottom-up and non-iterative. We pres...
Bhargav S. Gulavani, Supratik Chakraborty, Ganesan...
DCC
2008
IEEE
16 years 6 months ago
Noise-Shaped Predictive Coding for Multiple Descriptions of a Colored Gaussian Source
It was recently shown that the symmetric multiple-description (MD) quadratic rate-distortion function for memoryless Gaussian sources and two descriptions can be achieved by dithe...
Jan Østergaard, Ram Zamir, Yuval Kochman
IPPS
2009
IEEE
16 years 1 months ago
Exploring the effect of block shapes on the performance of sparse kernels
In this paper we explore the impact of the block shape on blocked and vectorized versions of the Sparse Matrix-Vector Multiplication (SpMV) kernel and build upon previous work by ...
Vasileios Karakasis, Georgios I. Goumas, Nectarios...