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ICGA
1997
86views Optimization» more  ICGA 1997»
15 years 7 months ago
Performance of Diploid Dominance with Genetically Synthesized Signal Processing Networks
A methodology is described for synthesizing signal processing networks, which are used to solve a low-cost medical signal processing problem. The approach makes use of genetic alg...
F. Greene
ICASSP
2011
IEEE
14 years 10 months ago
Worst-case based robust adaptive beamforming for general-rank signal models using positive semi-definite covariance constraint
In this paper, we develop a new approach to the robust beamforming for general-rank signal models. Our method is based on the worst-case performance optimization using a semi-de n...
Haihua Chen, Alex B. Gershman
SCHEDULING
2008
67views more  SCHEDULING 2008»
15 years 6 months ago
Exact train pathing
Suppose we are given a schedule of train movements over a rail network into which a new train is to be included. The origin and the destination are specified for the new train; it...
Viswanath Nagarajan, Abhiram G. Ranade
ICCAD
2003
IEEE
99views Hardware» more  ICCAD 2003»
15 years 11 months ago
A Probabilistic Approach to Buffer Insertion
This work presents a formal probabilistic approach for solving optimization problems in design automation. Prediction accuracy is very low especially at high levels of design flo...
Vishal Khandelwal, Azadeh Davoodi, Akash Nanavati,...
ICVGIP
2004
15 years 7 months ago
A Robust Nonparametric Estimation Framework for Implicit Image Models
Robust model fitting is important for computer vision tasks due to the occurrence of multiple model instances, and, unknown nature of noise. The linear errors-in-variables (EIV) m...
Himanshu Arora, Maneesh Singh, Narendra Ahuja