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ECCV
1998
Springer
14 years 12 months ago
A Probabilistic Approach to Object Recognition Using Local Photometry and Global Geometry
Many object classes, including human faces, can be modeled as a set of characteristic parts arranged in a variable spatial con guration. We introduce a simpli ed model of a deforma...
Michael C. Burl, Markus Weber, Pietro Perona
ISIP
2008
IEEE
14 years 4 months ago
An Approach Towards the Integration of Adaptive Business Intelligent and Constraint Programming
Adaptive Business Intelligence is the discipline that combines prediction, optimization and adaptability into a system answering two important questions: What would probably happe...
José Miguel Rubio, Broderick Crawford
LCN
2005
IEEE
14 years 3 months ago
GaMa : An Evolutionary Algorithmic Approach for the Design of Mesh-Based Radio Access Networks
Wireless mesh based access networks are destined to play a pivotal role in next generation broadband systems. With the proliferation of mesh networks, a key issue for network desi...
Samik Ghosh, Preetam Ghosh, Kalyan Basu, Sajal K. ...
GECCO
2005
Springer
196views Optimization» more  GECCO 2005»
14 years 3 months ago
Breeding swarms: a new approach to recurrent neural network training
This paper shows that a novel hybrid algorithm, Breeding Swarms, performs equal to, or better than, Genetic Algorithms and Particle Swarm Optimizers when training recurrent neural...
Matthew Settles, Paul Nathan, Terence Soule
AAAI
2006
13 years 11 months ago
A New Approach to Distributed Task Assignment using Lagrangian Decomposition and Distributed Constraint Satisfaction
We present a new formulation of distributed task assignment, called Generalized Mutual Assignment Problem (GMAP), which is derived from an NP-hard combinatorial optimization probl...
Katsutoshi Hirayama