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» Proving Consistency of Pure Methods and Model Fields
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EMMCVPR
2005
Springer
15 years 3 months ago
Exploiting Inference for Approximate Parameter Learning in Discriminative Fields: An Empirical Study
Abstract. Estimation of parameters of random field models from labeled training data is crucial for their good performance in many image analysis applications. In this paper, we p...
Sanjiv Kumar, Jonas August, Martial Hebert
WSC
2001
14 years 11 months ago
The economic effects of reusability on distributed simulations
This paper examines whether the ability to reuse a simulation, in whole or in part, results in tangible cost savings on the overall economics of the original simulation. Specific ...
Mary Ewing
3DPVT
2004
IEEE
125views Visualization» more  3DPVT 2004»
15 years 1 months ago
GPU-Assisted Z-Field Simplification
Height fields and depth maps which we collectively refer to as z-fields, usually carry a lot of redundant information and are often used in real-time applications. This is the rea...
Alexander Bogomjakov, Craig Gotsman
76
Voted
IJCV
2000
141views more  IJCV 2000»
14 years 9 months ago
Reliable Estimation of Dense Optical Flow Fields with Large Displacements
In this paper we show that a classic optical ow technique by Nagel and Enkelmann (1986) can be regarded as an early anisotropic di usion method with a di usion tensor. We introduc...
Luis Álvarez, Joachim Weickert, Javier S&aa...
NIPS
2007
14 years 11 months ago
Catching Up Faster in Bayesian Model Selection and Model Averaging
Bayesian model averaging, model selection and their approximations such as BIC are generally statistically consistent, but sometimes achieve slower rates of convergence than other...
Tim van Erven, Peter Grunwald, Steven de Rooij