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» Lagrangian Relaxation for MAP Estimation in Graphical Models
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ICRA
2009
IEEE
128views Robotics» more  ICRA 2009»
14 years 2 months ago
Tissue property estimation and graphical display for teleoperated robot-assisted surgery
— Palpation of tissue and organs during a surgical procedure provides clinicians with valuable information for diagnosis and surgical planning. In robot-assisted minimally invasi...
Tomonori Yamamoto, Balázs Vágvö...
ICASSP
2009
IEEE
14 years 2 months ago
Maximum-likelihood estimation of autoregressive models with conditional independence constraints
We propose a convex optimization method for maximum likelihood estimation of autoregressive models, subject to conditional independence constraints. This problem is an extension t...
Jitkomut Songsiri, Joachim Dahl, Lieven Vandenberg...
NIPS
2008
13 years 9 months ago
Clusters and Coarse Partitions in LP Relaxations
We propose a new class of consistency constraints for Linear Programming (LP) relaxations for finding the most probable (MAP) configuration in graphical models. Usual cluster-base...
David Sontag, Amir Globerson, Tommi Jaakkola
ICML
2009
IEEE
14 years 8 months ago
Sparse Gaussian graphical models with unknown block structure
Recent work has shown that one can learn the structure of Gaussian Graphical Models by imposing an L1 penalty on the precision matrix, and then using efficient convex optimization...
Benjamin M. Marlin, Kevin P. Murphy
SIGGRAPH
1999
ACM
13 years 12 months ago
Multiresolution Signal Processing for Meshes
We generalize basic signal processing tools such as downsampling, upsampling, and filters to irregular connectivity triangle meshes. This is accomplished through the design of a ...
Igor Guskov, Wim Sweldens, Peter Schröder