Sciweavers

1661 search results - page 13 / 333
» Scales and Scale-like Structures
Sort
View
COLING
2008
15 years 21 days ago
Chinese Dependency Parsing with Large Scale Automatically Constructed Case Structures
This paper proposes an approach using large scale case structures, which are automatically constructed from both a small tagged corpus and a large raw corpus, to improve Chinese d...
Kun Yu, Daisuke Kawahara, Sadao Kurohashi
91
Voted
TSP
2010
14 years 6 months ago
Gaussian multiresolution models: exploiting sparse Markov and covariance structure
We consider the problem of learning Gaussian multiresolution (MR) models in which data are only available at the finest scale and the coarser, hidden variables serve both to captu...
Myung Jin Choi, Venkat Chandrasekaran, Alan S. Wil...
ICCV
2009
IEEE
16 years 4 months ago
Absolute Scale in Structure from Motion from a Single Vehicle Mounted Camera by Exploiting Nonholonomic Constraints
In structure-from-motion with a single camera it is well known that the scene can be only recovered up to a scale. In order to compute the absolute scale, one needs to know the ...
Davide Scaramuzza, Friedrich Fraundorfer, Marc Pol...
ICML
2009
IEEE
16 years 2 days ago
Exploiting sparse Markov and covariance structure in multiresolution models
We consider Gaussian multiresolution (MR) models in which coarser, hidden variables serve to capture statistical dependencies among the finest scale variables. Tree-structured MR ...
Myung Jin Choi, Venkat Chandrasekaran, Alan S. Wil...
CORR
2010
Springer
130views Education» more  CORR 2010»
14 years 11 months ago
Approximated Structured Prediction for Learning Large Scale Graphical Models
In this paper we propose an approximated structured prediction framework for large scale graphical models and derive message-passing algorithms for learning their parameters effic...
Tamir Hazan, Raquel Urtasun