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» From Linear Relaxations to Global Constraint Propagation
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NIPS
2007
15 years 1 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
84
Voted
ICANN
2009
Springer
15 years 4 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»
14 years 10 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»
14 years 10 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
15 years 5 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