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» Kernels for Global Constraints
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CDC
2010
IEEE
182views Control Systems» more  CDC 2010»
13 years 2 months ago
An approximate dual subgradient algorithm for multi-agent non-convex optimization
We consider a multi-agent optimization problem where agents aim to cooperatively minimize a sum of local objective functions subject to a global inequality constraint and a global ...
Minghui Zhu, Sonia Martínez
CP
2004
Springer
14 years 1 months ago
Disjoint, Partition and Intersection Constraints for Set and Multiset Variables
We have started a systematic study of global constraints on set and multiset variables. We consider here disjoint, partition, and intersection constraints in conjunction with cardi...
Christian Bessière, Emmanuel Hebrard, Brahi...
ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
15 years 22 days ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer
EMNLP
2008
13 years 9 months ago
Jointly Combining Implicit Constraints Improves Temporal Ordering
Previous work on ordering events in text has typically focused on local pairwise decisions, ignoring globally inconsistent labels. However, temporal ordering is the type of domain...
Nathanael Chambers, Daniel Jurafsky
CVPR
2001
IEEE
14 years 9 months ago
Combining Two-view Constraints For Motion Estimation
In this paper we describe two methods for estimating the motion parameters of an image sequence. For a sequence of images, the global motion can be described by ???? independent m...
Venu Madhav Govindu