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» Optimal Segmentation of Random Sequences
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RANDOM
1997
Springer
15 years 3 months ago
Resource-Bounded Randomness and Compressibility with Respect to Nonuniform Measures
Most research on resource-bounded measure and randomness has focused on the uniform probability density, or Lebesgue measure, on {0, 1}∞ ; the study of resource-bounded measure ...
Steven M. Kautz
IVC
1998
65views more  IVC 1998»
14 years 11 months ago
Segmentation of MR images with intensity inhomogeneities
A statistical model to segment clinical magnetic resonance (MR) images in the presence of noise and intensity inhomogeneities is proposed. Inhomogeneities are considered to be mul...
Jagath C. Rajapakse, Frithjof Kruggel
PAMI
1998
124views more  PAMI 1998»
14 years 11 months ago
Robust Adaptive Segmentation of Range Images
—We propose a novel image segmentation technique using the robust, adaptive least kth order squares (ALKS) estimator which minimizes the kth order statistics of the squared of re...
Kil-Moo Lee, Peter Meer, Rae-Hong Park
ICML
2004
IEEE
16 years 16 days ago
Training conditional random fields via gradient tree boosting
Conditional Random Fields (CRFs; Lafferty, McCallum, & Pereira, 2001) provide a flexible and powerful model for learning to assign labels to elements of sequences in such appl...
Thomas G. Dietterich, Adam Ashenfelter, Yaroslav B...
AAAI
2008
15 years 2 months ago
CRF-OPT: An Efficient High-Quality Conditional Random Field Solver
Conditional random field (CRF) is a popular graphical model for sequence labeling. The flexibility of CRF poses significant computational challenges for training. Using existing o...
Minmin Chen, Yixin Chen, Michael R. Brent