692 search results - page 70 / 139 » BDD minimization for approximate computing |
ICML
2005
IEEE
15 years 11 months ago
2005
IEEE
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
108
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ECCV
2008
Springer
16 years 27 days ago
2008
Springer
This paper presents GeoS, a new algorithm for the efficient segmentation of n-dimensional image and video data. The segmentation problem is cast as approximate energy minimization ...
ICCV
2005
IEEE
16 years 28 days ago
2005
IEEE
The goal of deconvolution is to recover an image x from its convolution with a known blurring function. This is equivalent to inverting the linear system y = Hx. In this paper we ...
SIGGRAPH
1994
ACM
15 years 3 months ago
1994
ACM
This paper describes a methodology for using the matrix-vector multiply and scan conversion hardware present in many graphics workstations to rapidly approximate the optical flow ...
111
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CC
2012
Springer
13 years 6 months ago
2012
Springer
The computational cost and precision of a shape style heap analysis is highly dependent on the way method calls are handled. This paper introduces a new approach to analyzing metho...