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FSTTCS
2006
Springer
13 years 11 months ago
Approximation Algorithms for 2-Stage Stochastic Optimization Problems
Abstract. Stochastic optimization is a leading approach to model optimization problems in which there is uncertainty in the input data, whether from measurement noise or an inabili...
Chaitanya Swamy, David B. Shmoys
TSP
2010
13 years 2 months ago
A non-iterative technique for phase noise ICI mitigation in packet-based OFDM systems
In this paper, a practical approach for detecting packet-based orthogonal frequency division multiplexing (OFDM) signals in the presence of phase noise is presented. An OFDM packe...
Payam Rabiei, Won Namgoong, Naofal Al-Dhahir
VLDB
2002
ACM
138views Database» more  VLDB 2002»
13 years 7 months ago
Adaptable Similarity Search using Non-Relevant Information
Many modern database applications require content-based similarity search capability in numeric attribute space. Further, users' notion of similarity varies between search se...
T. V. Ashwin, Rahul Gupta, Sugata Ghosal
ICRA
2003
IEEE
109views Robotics» more  ICRA 2003»
14 years 1 months ago
Multibody motion estimation and segmentation from multiple central panoramic views
Abstract— We present an algorithm for infinitesimal motion estimation and segmentation from multiple central panoramic views. We first show that the central panoramic optical ...
Omid Shakernia, René Vidal, Shankar Sastry
TNN
1998
111views more  TNN 1998»
13 years 7 months ago
Asymptotic distributions associated to Oja's learning equation for neural networks
— In this paper, we perform a complete asymptotic performance analysis of the stochastic approximation algorithm (denoted subspace network learning algorithm) derived from Oja’...
Jean Pierre Delmas, Jean-Francois Cardos