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» The Inference Problem: A Survey
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111
Voted
CDC
2008
IEEE
111views Control Systems» more  CDC 2008»
15 years 3 months ago
A Hamiltonian approximation method for the reduction of controlled systems
Abstract-- This paper considers the problem of model reduction for controlled systems. The paper considers a dual/adjoint formulation of the general optimization problem to minimiz...
Siep Weiland
ICML
2008
IEEE
16 years 1 months ago
Fast Gaussian process methods for point process intensity estimation
Point processes are difficult to analyze because they provide only a sparse and noisy observation of the intensity function driving the process. Gaussian Processes offer an attrac...
John P. Cunningham, Krishna V. Shenoy, Maneesh Sah...
99
Voted
ICCV
1999
IEEE
15 years 5 months ago
Bayesian Structure from Motion
:We formulate structure from motion as a Bayesian inference problem, and use a Markov chain Monte Carlo sampler to sample the posterior on this problem. This results in a method th...
David A. Forsyth, Sergey Ioffe, John A. Haddon
116
Voted
ASIAN
2006
Springer
133views Algorithms» more  ASIAN 2006»
15 years 4 months ago
Normal Proofs in Intruder Theories
Given an arbitrary intruder deduction capability, modeled as an inference system S and a protocol, we show how to compute an inference system bS such that the security problem for ...
Vincent Bernat, Hubert Comon-Lundh
133
Voted
ECML
2006
Springer
15 years 4 months ago
Multiple-Instance Learning Via Random Walk
This paper presents a decoupled two stage solution to the multiple-instance learning (MIL) problem. With a constructed affinity matrix to reflect the instance relations, a modified...
Dong Wang, Jianmin Li, Bo Zhang