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SYNASC
2005
IEEE
97views Algorithms» more  SYNASC 2005»
16 years 13 days ago
A Reinforcement Learning Algorithm for Spiking Neural Networks
The paper presents a new reinforcement learning mechanism for spiking neural networks. The algorithm is derived for networks of stochastic integrate-and-fire neurons, but it can ...
Razvan V. Florian
176
Voted
SMA
2005
ACM
191views Solid Modeling» more  SMA 2005»
16 years 13 days ago
Poisson shape interpolation
In this paper, we propose a novel shape interpolation approach based on Poisson equation. We formulate the trajectory problem of shape interpolation as solving Poisson equations d...
Dong Xu, Hongxin Zhang, Qing Wang, Hujun Bao
180
Voted
IBPRIA
2005
Springer
16 years 11 days ago
Fast Surface Grading Using Color Statistics in the CIE Lab Space
In this paper we approach the problem of fast surface grading of flat pieces decorated with random patterns. The proposed method is based on the use of global statistics of color ...
Fernando López, José Miguel Valiente...
QOSIP
2005
Springer
16 years 10 days ago
Utility Proportional Fair Bandwidth Allocation: An Optimization Oriented Approach
In this paper, we present a novel approach to the congestion control and resource allocation problem of elastic and real-time traffic in telecommunication networks. With the concep...
Tobias Harks
185
Voted
SEMWEB
2004
Springer
16 years 6 days ago
Personalized Reputation Management in P2P Networks
P2P networks have become increasingly popular in the recent years. However, their open, distributed and anonymous nature makes them very vulnerable against malicious users who prov...
Paul-Alexandru Chirita, Wolfgang Nejdl, Mario T. S...