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    INTERSPEECH
    2010
    121views Signal Processing» more  INTERSPEECH 2010»
    Learning from human errors: prediction of phoneme confusions based on modified ASR training
    14 years 5 months ago
    Learning from human errors: prediction of phoneme confusions based on modified ASR training
    Download  medi.uni-oldenburg.de
    In an attempt to improve models of human perception, the recognition of phonemes in nonsense utterances was predicted with automatic speech recognition (ASR) in order to analyze i...
    Bernd T. Meyer, Birger Kollmeier
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    SIAMNUM
    2010
    150views more  SIAMNUM 2010»
    Quasi-Optimal Convergence Rate of an Adaptive Discontinuous Galerkin Method
    14 years 5 months ago
    Quasi-Optimal Convergence Rate of an Adaptive Discontinuous Galerkin Method
    Download  www.math.tamu.edu
    We analyze an adaptive discontinuous finite element method (ADFEM) for symmetric second order linear elliptic operators. The method is formulated on nonconforming meshes made of si...
    Andrea Bonito, Ricardo H. Nochetto
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    TIT
    2010
    82views Education» more  TIT 2010»
    Average message delivery time for small-world networks in the continuum limit
    14 years 5 months ago
    Average message delivery time for small-world networks in the continuum limit
    Download  www.princeton.edu
    Small-world networks are networks in which the graphical diameter of the network is as small as the diameter of random graphs but whose nodes are highly clustered when compared wit...
    Hazer Inaltekin, Mung Chiang, H. Vincent Poor
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    TMI
    2010
    164views more  TMI 2010»
    Robust Reconstruction of MRSI Data Using a Sparse Spectral Model and High Resolution MRI Priors
    14 years 5 months ago
    Robust Reconstruction of MRSI Data Using a Sparse Spectral Model and High Resolution MRI Priors
    Download  cbig.rochester.edu
    We introduce a novel algorithm to address the challenges in magnetic resonance (MR) spectroscopic imaging. In contrast to classical sequential data processing schemes, the proposed...
    Ramin Eslami, Mathews Jacob
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    CVPR
    2011
    IEEE
    265views Computer Vision» more  CVPR 2011»
    Max-margin Clustering: Detecting Margins from Projections of Points on Lines
    14 years 2 months ago
    Max-margin Clustering: Detecting Margins from Projections of Points on Lines
    Download  www.umiacs.umd.edu
    Given a unlabelled set of points X ∈ RN belonging to k groups, we propose a method to identify cluster assignments that provides maximum separating margin among the clusters. We...
    Raghuraman Gopalan, Jagan Sankaranarayanan
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