Sciweavers

298 search results - page 16 / 60
» Approximate Inference and Constrained Optimization
Sort
View
AMAST
1998
Springer
13 years 12 months ago
Type Analysis for CHIP
Abstract. This paper proposes a tool to support reasoning about (partial) correctness of constraint logic programs. The tool infers a speci cation that approximates the semantics o...
Wlodzimierz Drabent, Pawel Pietrzak
ECCV
2008
Springer
14 years 9 months ago
Constrained Maximum Likelihood Learning of Bayesian Networks for Facial Action Recognition
Probabilistic graphical models such as Bayesian Networks have been increasingly applied to many computer vision problems. Accuracy of inferences in such models depends on the quali...
Cassio Polpo de Campos, Yan Tong, Qiang Ji
CORR
2007
Springer
94views Education» more  CORR 2007»
13 years 7 months ago
Universal Quantile Estimation with Feedback in the Communication-Constrained Setting
Abstract— We consider the following problem of decentralized statistical inference: given i.i.d. samples from an unknown distribution, estimate an arbitrary quantile subject to l...
Ram Rajagopal, Martin J. Wainwright
MP
2006
137views more  MP 2006»
13 years 7 months ago
New algorithms for singly linearly constrained quadratic programs subject to lower and upper bounds
There are many applications related to singly linearly constrained quadratic programs subjected to upper and lower bounds. In this paper, a new algorithm based on secant approximat...
Yu-Hong Dai, Roger Fletcher
SIAMIS
2011
13 years 2 months ago
Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models
Abstract. Many problems of low-level computer vision and image processing, such as denoising, deconvolution, tomographic reconstruction or superresolution, can be addressed by maxi...
Matthias W. Seeger, Hannes Nickisch