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    TSP
    2008
    178views more  TSP 2008»
    Monte Carlo Methods for Channel, Phase Noise, and Frequency Offset Estimation With Unknown Noise Variances in OFDM Systems
    13 years 8 months ago
    Monte Carlo Methods for Channel, Phase Noise, and Frequency Offset Estimation With Unknown Noise Variances in OFDM Systems
    Download  www-sigproc.eng.cam.ac.uk
    In this paper, we address the problem of orthogonal frequency-division multiplexing (OFDM) channel estimation in the presence of phase noise (PHN) and carrier frequency offset (CFO...
    F. Septier, Yves Delignon, A. Menhaj-Rivenq, Chris...
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    ICML
    2007
    IEEE
    275views Machine Learning» more  ICML 2007»
    Pegasos: Primal Estimated sub-GrAdient SOlver for SVM
    14 years 9 months ago
    Pegasos: Primal Estimated sub-GrAdient SOlver for SVM
    Download  ttic.uchicago.edu
    We describe and analyze a simple and effective iterative algorithm for solving the optimization problem cast by Support Vector Machines (SVM). Our method alternates between stocha...
    Shai Shalev-Shwartz, Yoram Singer, Nathan Srebro
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    BMCBI
    2007
    134views more  BMCBI 2007»
    Efficient pairwise RNA structure prediction using probabilistic alignment constraints in Dynalign
    13 years 9 months ago
    Efficient pairwise RNA structure prediction using probabilistic alignment constraints in Dynalign
    Download  www.biomedcentral.com
    Background: Joint alignment and secondary structure prediction of two RNA sequences can significantly improve the accuracy of the structural predictions. Methods addressing this p...
    Arif Ozgun Harmanci, Gaurav Sharma, David H. Mathe...
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    CGF
    2010
    170views more  CGF 2010»
    A Closed-Form Solution to Single Scattering for General Phase Functions and Light Distributions
    13 years 9 months ago
    A Closed-Form Solution to Single Scattering for General Phase Functions and Light Distributions
    Download  www.cs.utah.edu
    Due to the intricate nature of the equation governing light transport in participating media, accurately and efficiently simulating radiative energy transfer remains very challeng...
    Vincent Pegoraro, Mathias Schott, Steven G. Parker
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    STOC
    1993
    ACM
    117views Algorithms» more  STOC 1993»
    Efficient noise-tolerant learning from statistical queries
    14 years 1 months ago
    Efficient noise-tolerant learning from statistical queries
    Download  www.cs.iastate.edu
    In this paper, we study the problem of learning in the presence of classification noise in the probabilistic learning model of Valiant and its variants. In order to identify the cl...
    Michael J. Kearns
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