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» Uncertainty Modeling for Optimal Structure from Motion
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ICML
2009
IEEE
14 years 9 months ago
Uncertainty sampling and transductive experimental design for active dual supervision
Dual supervision refers to the general setting of learning from both labeled examples as well as labeled features. Labeled features are naturally available in tasks such as text c...
Vikas Sindhwani, Prem Melville, Richard D. Lawrenc...
IOR
2011
152views more  IOR 2011»
13 years 3 months ago
Risk-Averse Two-Stage Stochastic Linear Programming: Modeling and Decomposition
We formulate a risk-averse two-stage stochastic linear programming problem in which unresolved uncertainty remains after the second stage. The objective function is formulated as ...
Naomi Miller, Andrzej Ruszczynski
PAMI
2006
202views more  PAMI 2006»
13 years 8 months ago
Pose and Motion Recovery from Feature Correspondences and a Digital Terrain Map
A novel algorithm for pose and motion estimation using corresponding features and a Digital Terrain Map is proposed. Using a Digital Terrain (or Digital Elevation) Map (DTM/DEM) as...
Ronen Lerner, Ehud Rivlin, Héctor Rotstein
ICIP
2009
IEEE
14 years 9 months ago
Bi-directional Scalable Motion For Scalable Video Coding
Motion information scalability is an important requirement for a fully scalable video codec, especially in low bit rate or small resolution decoding scenarios, for which the fully...
IVC
2006
137views more  IVC 2006»
13 years 8 months ago
An information-theoretic approach to face recognition from face motion manifolds
In this work we consider face recognition from Face Motion Manifolds (FMMs). The use of the Resistor-Average Distance (RAD) as a dissimilarity measure between densities confined t...
Ognjen Arandjelovic, Roberto Cipolla