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    CLOR
    2006
    168views Computer Vision» more  CLOR 2006»
    A Sparse Object Category Model for Efficient Learning and Complete Recognition
    14 years 1 months ago
    A Sparse Object Category Model for Efficient Learning and Complete Recognition
    Download  people.csail.mit.edu
    We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a weakly-supervised manner: the model is learnt from examp...
    Robert Fergus, Pietro Perona, Andrew Zisserman
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    ACL
    2007
    140views Computational Linguistics» more  ACL 2007»
    Sparse Information Extraction: Unsupervised Language Models to the Rescue
    13 years 11 months ago
    Sparse Information Extraction: Unsupervised Language Models to the Rescue
    Download  turing.cs.washington.edu
    Even in a massive corpus such as the Web, a substantial fraction of extractions appear infrequently. This paper shows how to assess the correctness of sparse extractions by utiliz...
    Doug Downey, Stefan Schoenmackers, Oren Etzioni
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    DAC
    2010
    ACM
    152views Computer Architecture» more  DAC 2010»
    Toward efficient large-scale performance modeling of integrated circuits via multi-mode/multi-corner sparse regression
    13 years 10 months ago
    Toward efficient large-scale performance modeling of integrated circuits via multi-mode/multi-corner sparse regression
    Download  www.ece.cmu.edu
    In this paper, we propose a novel multi-mode/multi-corner sparse regression (MSR) algorithm to build large-scale performance models of integrated circuits at multiple working mode...
    Wangyang Zhang, Tsung-Hao Chen, Ming Yuan Ting, Xi...
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    JMLR
    2012
    176views Programming Languages» more  JMLR 2012»
    Fast interior-point inference in high-dimensional sparse, penalized state-space models
    12 years 3 days ago
    Fast interior-point inference in high-dimensional sparse, penalized state-space models
    Download  www.stat.columbia.edu
    We present an algorithm for fast posterior inference in penalized high-dimensional state-space models, suitable in the case where a few measurements are taken in each time step. W...
    Eftychios A. Pnevmatikakis, Liam Paninski
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    SIAMSC
    2010
    210views more  SIAMSC 2010»
    On Two-Dimensional Sparse Matrix Partitioning: Models, Methods, and a Recipe
    13 years 4 months ago
    On Two-Dimensional Sparse Matrix Partitioning: Models, Methods, and a Recipe
    Download  graal.ens-lyon.fr
    We consider two-dimensional partitioning of general sparse matrices for parallel sparse matrix-vector multiply operation. We present three hypergraph-partitioning-based methods, ea...
    Ümit V. Çatalyürek, Cevdet Aykana...
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