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MOC
2000
105views more  MOC 2000»
14 years 11 months ago
On the iteratively regularized Gauss-Newton method for solving nonlinear ill-posed problems
The iteratively regularized Gauss-Newton method is applied to compute the stable solutions to nonlinear ill-posed problems F (x) = y when the data y is given approximately by y wit...
Jin Qi-nian
ICASSP
2009
IEEE
15 years 6 months ago
Speech reinforcement based on partial masking effect
Perceived quality of the speech signal deteriorates significantly in the presence of ambient noise. In this paper, based on the analysis that the partial masking effect is a main...
Jong Won Shin, Yu Gwang Jin, Seung Seop Park, Nam ...
ICCCN
2007
IEEE
15 years 5 months ago
Evaluation of Mesh-Enhanced VANET Deployment Models
—While wireless vehicular ad hoc networks (VANETs) are attracting greater commercial interest, current research has not adequately captured the real-world urban constraints in VA...
Niranjan Potnis, Atulya Mahajan, Kartik Gopalan, A...
DOCENG
2003
ACM
15 years 4 months ago
Management of trusted citations
We discuss how references and citations within a document to particular sources can be verified and guaranteed. When a document refers through a quotation to another document, th...
Christer Fernström
WSC
2008
15 years 1 months ago
On step sizes, stochastic shortest paths, and survival probabilities in Reinforcement Learning
Reinforcement Learning (RL) is a simulation-based technique useful in solving Markov decision processes if their transition probabilities are not easily obtainable or if the probl...
Abhijit Gosavi