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AUSSOIS
2001
Springer
14 years 28 days ago
An Augment-and-Branch-and-Cut Framework for Mixed 0-1 Programming
In recent years the branch-and-cut method, a synthesis of the classical branch-and-bound and cutting plane methods, has proven to be a highly successful approach to solving large-s...
Adam N. Letchford, Andrea Lodi
ECCV
2008
Springer
14 years 10 months ago
The Bi-directional Framework for Unifying Parametric Image Alignment Approaches
In this paper, a generic bi-directional framework is proposed for parametric image alignment, that extends the classification of [1]. Four main categories (Forward, Inverse, Depend...
Jean-Baptiste Authesserre, Rémi Mégr...
ICML
1998
IEEE
14 years 9 months ago
Multiagent Reinforcement Learning: Theoretical Framework and an Algorithm
In this paper, we adopt general-sum stochastic games as a framework for multiagent reinforcement learning. Our work extends previous work by Littman on zero-sum stochastic games t...
Junling Hu, Michael P. Wellman
EDOC
2007
IEEE
14 years 2 months ago
An Analysis Framework for Mobile Workforce Automation
In this paper we introduce an analysis framework for mobile workforce automation. The framework is based on the findings from earlier research as well as on an analysis of 27 rec...
Volker Gruhn, André Köhler
ACL
2009
13 years 6 months ago
A Metric-based Framework for Automatic Taxonomy Induction
This paper presents a novel metric-based framework for the task of automatic taxonomy induction. The framework incrementally clusters terms based on ontology metric, a score indic...
Hui Yang, Jamie Callan