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HIS
2004
13 years 11 months ago
Q'tron Neural Networks for Constraint Satisfaction
This paper proposes the methods to solve the constraint satisfaction problems (CSPs) using Q'tron neural networks (NNs). A Q'tron NN is local-minima free if it is built ...
Tai-Wen Yue, Mei-Ching Chen
IBERAMIA
2004
Springer
14 years 3 months ago
Constrainedness and Redundancy by Constraint Ordering
Abstract. In constraint satisfaction, a general rule is to tackle the hardest part of a search problem first. In this paper, we introduce a parameter (τ) that measures the constr...
Miguel A. Salido, Federico Barber
ICRA
2003
IEEE
231views Robotics» more  ICRA 2003»
14 years 3 months ago
Online simultaneous localization and mapping with detection and tracking of moving objects: theory and results from a ground veh
−−−− The simultaneous localization and mapping (SLAM) with detection and tracking of moving objects (DATMO) problem is not only to solve the SLAM problem in dynamic environ...
Chieh-Chih Wang, Charles E. Thorpe, Sebastian Thru...
ASPDAC
1999
ACM
77views Hardware» more  ASPDAC 1999»
14 years 2 months ago
Timing-Driven Bipartitioning with Replication Using Iterative Quadratic Programming
We present an algorithm for solving a general min-cut, twoway partitioning problem subject to timing constraints. The problem is formulated as a constrained programming problem an...
Shihliang Ou, Massoud Pedram
AAAI
2006
13 years 11 months ago
Identifying and Generating Easy Sets of Constraints for Clustering
Clustering under constraints is a recent innovation in the artificial intelligence community that has yielded significant practical benefit. However, recent work has shown that fo...
Ian Davidson, S. S. Ravi