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CVPR
2012
IEEE
7 years 5 months ago
What is optimized in tight convex relaxations for multi-label problems?
In this work we present a unified view on Markov random fields and recently proposed continuous tight convex relaxations for multi-label assignment in the image plane. These rel...
Christopher Zach, Christian Hane, Marc Pollefeys
SCIA
2011
Springer
216views Image Analysis» more  SCIA 2011»
8 years 5 months ago
Triangulating a Plane
Abstract. In this theoretical paper we consider the problem of accurately triangulating a scene plane. Rather than first triangulating a set of points and then fitting a plane to...
Carl Olsson, Anders Eriksson
CPAIOR
2011
Springer
8 years 6 months ago
Optimization Methods for the Partner Units Problem
In this work we present the Partner Units Problem as a novel challenge for optimization methods. It captures a certain type of configuration problem that frequently occurs in indu...
Markus Aschinger, Conrad Drescher, Gerhard Friedri...
AIM
2011
8 years 6 months ago
Transfer Learning by Reusing Structured Knowledge
Transfer learning aims to solve new learning problems by extracting and making use of the common knowledge found in related domains. A key element of transfer learning is to ident...
Qiang Yang, Vincent Wenchen Zheng, Bin Li, Hankz H...
AAAI
2010
8 years 11 months ago
A Cross-Entropy Method that Optimizes Partially Decomposable Problems: A New Way to Interpret NMR Spectra
Some real-world problems are partially decomposable, in that they can be decomposed into a set of coupled subproblems, that are each relatively easy to solve. However, when these ...
Siamak (Moshen) Ravanbakhsh, Barnabás P&oac...
PAMI
2000
231views more  PAMI 2000»
9 years 2 months ago
Fast and Globally Convergent Pose Estimation from Video Images
Chien-Ping Lu, Gregory D. Hager, Eric Mjolsness
IJON
2006
112views more  IJON 2006»
9 years 2 months ago
Comparison of automated parameter estimation methods for neuronal signaling networks
This work is a suitability study of the different optimization methods for automated parameter estimation (fitting) in the context of neuronal signaling networks. The Gepasi simul...
Antti Pettinen, Olli Yli-Harja, Marja-Leena Linne
ENGL
2008
122views more  ENGL 2008»
9 years 2 months ago
Real-Time Population Based Optimization for Adaptive Motion Control of Robot Manipulator
A population based real-time optimization method for tuning dynamic position control parameters of robot manipulators has been proposed. Conventionally, the positional control is a...
Mehmet Bodur
WSC
1997
9 years 3 months ago
Single Run Optimization Using the Reverse-Simulation Method
An efficient “Simulation Optimization” technique is developed to solve system design problems which can not be expressed in explicit analytical or mathematical models. In part...
Young Hae Lee, Kyoung Jong Park, Yun Bae Kim
ATAL
2006
Springer
9 years 6 months ago
Solving POMDPs using quadratically constrained linear programs
Developing scalable algorithms for solving partially observable Markov decision processes (POMDPs) is an important challenge. One promising approach is based on representing POMDP...
Christopher Amato, Daniel S. Bernstein, Shlomo Zil...
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