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» From Linear Relaxations to Global Constraint Propagation
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NIPS
2007
13 years 10 months ago
A Constraint Generation Approach to Learning Stable Linear Dynamical Systems
Stability is a desirable characteristic for linear dynamical systems, but it is often ignored by algorithms that learn these systems from data. We propose a novel method for learn...
Sajid M. Siddiqi, Byron Boots, Geoffrey J. Gordon
ICANN
2009
Springer
14 years 1 months ago
Constrained Learning Vector Quantization or Relaxed k-Separability
Neural networks and other sophisticated machine learning algorithms frequently miss simple solutions that can be discovered by a more constrained learning methods. Transition from ...
Marek Grochowski, Wlodzislaw Duch
TVCG
2010
161views more  TVCG 2010»
13 years 7 months ago
Globally Optimized Linear Windowed Tone Mapping
—This paper introduces a new tone mapping operator that performs local linear adjustments on small overlapping windows over the entire input image. While each window applies a lo...
Qi Shan, Jiaya Jia, Michael S. Brown
CORR
2010
Springer
153views Education» more  CORR 2010»
13 years 7 months ago
Approximate Judgement Aggregation
We analyze judgement aggregation problems in which a group of agents independently votes on a set of complex propositions that has some interdependency constraint between them (e....
Ilan Nehama
IAT
2006
IEEE
14 years 2 months ago
A Multi-stage Graph Decomposition Algorithm for Distributed Constraint Optimisation
In this paper, we propose a novel approach to solving the distributed constraint optimisation problem (DCOP) that guarantees completeness, while having linear communication comple...
Terence H.-W. Law, Adrian R. Pearce