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ICML
2009
IEEE
16 years 7 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
EMNLP
2008
15 years 7 months ago
Online Large-Margin Training of Syntactic and Structural Translation Features
Minimum-error-rate training (MERT) is a bottleneck for current development in statistical machine translation because it is limited in the number of weights it can reliably optimi...
David Chiang, Yuval Marton, Philip Resnik
JMLR
2012
13 years 8 months ago
Randomized Optimum Models for Structured Prediction
One approach to modeling structured discrete data is to describe the probability of states via an energy function and Gibbs distribution. A recurring difficulty in these models is...
Daniel Tarlow, Ryan Prescott Adams, Richard S. Zem...
SMILE
2000
Springer
15 years 10 months ago
Frame Decimation for Structure and Motion
A frame decimation scheme is proposed that makes automatic extraction of Structure and Motion (SaM) from handheld sequences more practical. Decimation of the number of frames used...
David Nistér
ICRA
2002
IEEE
144views Robotics» more  ICRA 2002»
15 years 11 months ago
Sensing Nanonewton Level Forces by Visually Tracking Structural Deformations
When assembling MEMS devices or manipulating biological cells it is often beneficial to have information about the force that is being applied to these objects. This force informa...
Michael A. Greminger, Ge Yang, Bradley J. Nelson