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    JMLR
    2012
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    Distance Metric Learning with Eigenvalue Optimization
    11 years 9 months ago
    Distance Metric Learning with Eigenvalue Optimization
    Download  jmlr.csail.mit.edu
    The main theme of this paper is to develop a novel eigenvalue optimization framework for learning a Mahalanobis metric. Within this context, we introduce a novel metric learning a...
    Yiming Ying, Peng Li
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    JMLR
    2012
    255views Programming Languages» more  JMLR 2012»
    Learning Low-order Models for Enforcing High-order Statistics
    11 years 9 months ago
    Learning Low-order Models for Enforcing High-order Statistics
    Download  jmlr.csail.mit.edu
    Models such as pairwise conditional random fields (CRFs) are extremely popular in computer vision and various other machine learning disciplines. However, they have limited expre...
    Patrick Pletscher, Pushmeet Kohli
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    JMLR
    2012
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    Globally Optimizing Graph Partitioning Problems Using Message Passing
    11 years 9 months ago
    Globally Optimizing Graph Partitioning Problems Using Message Passing
    Download  www.cs.huji.ac.il
    Graph partitioning algorithms play a central role in data analysis and machine learning. Most useful graph partitioning criteria correspond to optimizing a ratio between the cut a...
    Elad Mezuman, Yair Weiss
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    JMLR
    2012
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    Fast interior-point inference in high-dimensional sparse, penalized state-space models
    11 years 9 months 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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    JMLR
    2012
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    Structured Output Learning with High Order Loss Functions
    11 years 9 months ago
    Structured Output Learning with High Order Loss Functions
    Download  jmlr.csail.mit.edu
    Often when modeling structured domains, it is desirable to leverage information that is not naturally expressed as simply a label. Examples include knowledge about the evaluation ...
    Daniel Tarlow, Richard S. Zemel
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