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AAAI
2010
13 years 8 months ago
A First Practical Algorithm for High Levels of Relational Consistency
Consistency properties and algorithms for achieving them are at the heart of the success of Constraint Programming. In this paper, we study the relational consistency property R(,...
Shant Karakashian, Robert J. Woodward, Christopher...
ACML
2009
Springer
13 years 11 months ago
Max-margin Multiple-Instance Learning via Semidefinite Programming
In this paper, we present a novel semidefinite programming approach for multiple-instance learning. We first formulate the multipleinstance learning as a combinatorial maximum marg...
Yuhong Guo
IJCV
2006
120views more  IJCV 2006»
13 years 7 months ago
Contour Inferences for Image Understanding
We present a new approach to the algorithmic study of planar curves, with applications to estimations of contours in images. We construct spaces of curves satisfying constraints su...
Washington Mio, Anuj Srivastava, Xiuwen Liu
UAI
2008
13 years 8 months ago
Partitioned Linear Programming Approximations for MDPs
Approximate linear programming (ALP) is an efficient approach to solving large factored Markov decision processes (MDPs). The main idea of the method is to approximate the optimal...
Branislav Kveton, Milos Hauskrecht
CVPR
2008
IEEE
14 years 9 months ago
3D surface models by geometric constraints propagation
This paper proposes a technique for estimating piecewise planar models of objects from their images and geometric constraints. First, assuming a bounded noise in the localization ...
Michela Farenzena, Andrea Fusiello