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» Estimating Vision Parameters given Data with Covariances
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SIAMJO
2010
155views more  SIAMJO 2010»
13 years 1 months ago
Optimal Portfolio Execution Strategies and Sensitivity to Price Impact Parameters
When liquidating a portfolio of large blocks of risky assets, an institutional investor wants to minimize the cost as well as the risk of execution. An optimal execution strategy ...
Somayeh Moazeni, Thomas F. Coleman, Yuying Li
ICCVW
1999
Springer
13 years 11 months ago
Uncertainty Modeling for Optimal Structure from Motion
The parameters estimated by Structure from Motion SFM contain inherent indeterminacies which we call gauge freedoms. Under a perspective camera, shape and motion parameters are o...
Daniel D. Morris, Ken-ichi Kanatani, Takeo Kanade
CVPR
2008
IEEE
14 years 8 months ago
Simultaneous data volume reconstruction and pose estimation from slice samples
Modeling the dynamics of heart and lung tissue is challenging because the tissue deforms between data acquisitions. To reconstruct complete volumes, sample data captured at differ...
Manfred Georg, Richard Souvenir, Andrew Hope, Robe...
CDC
2009
IEEE
221views Control Systems» more  CDC 2009»
13 years 10 months ago
Parametrization invariant covariance quantification in identification of transfer functions for linear systems
This paper adresses the variance quantification problem for system identification based on the prediction error framework. The role of input and model class selection for the auto-...
Tzvetan Ivanov, Michel Gevers
CVPR
2011
IEEE
13 years 3 months ago
Saliency Estimation Using a Non-Parametric Low-Level Vision Model
Many successful models for predicting attention in a scene involve three main steps: convolution with a set of filters, a center-surround mechanism and spatial pooling to constru...
Naila Murray, Maria Vanrell, Xavier Otazu, C. Alej...