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    NIPS
    2004
    110views Information Technology» more  NIPS 2004»
    Learning Hyper-Features for Visual Identification
    14 years 29 days ago
    Learning Hyper-Features for Visual Identification
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    We address the problem of identifying specific instances of a class (cars) from a set of images all belonging to that class. Although we cannot build a model for any particular in...
    Andras Ferencz, Erik G. Learned-Miller, Jitendra M...
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    NIPS
    2004
    128views Information Technology» more  NIPS 2004»
    A Cost-Shaping LP for Bellman Error Minimization with Performance Guarantees
    14 years 29 days ago
    A Cost-Shaping LP for Bellman Error Minimization with Performance Guarantees
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    We introduce a new algorithm based on linear programming that approximates the differential value function of an average-cost Markov decision process via a linear combination of p...
    Daniela Pucci de Farias, Benjamin Van Roy
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    NIPS
    2004
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    Exploration-Exploitation Tradeoffs for Experts Algorithms in Reactive Environments
    14 years 29 days ago
    Exploration-Exploitation Tradeoffs for Experts Algorithms in Reactive Environments
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    A reactive environment is one that responds to the actions of an agent rather than evolving obliviously. In reactive environments, experts algorithms must balance exploration and ...
    Daniela Pucci de Farias, Nimrod Megiddo
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    NIPS
    2004
    103views Information Technology» more  NIPS 2004»
    Experts in a Markov Decision Process
    14 years 29 days ago
    Experts in a Markov Decision Process
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    We consider an MDP setting in which the reward function is allowed to change during each time step of play (possibly in an adversarial manner), yet the dynamics remain fixed. Simi...
    Eyal Even-Dar, Sham M. Kakade, Yishay Mansour
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    NIPS
    2004
    170views Information Technology» more  NIPS 2004»
    Seeing through water
    14 years 29 days ago
    Seeing through water
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    We consider the problem of recovering an underwater image distorted by surface waves. A large amount of video data of the distorted image is acquired. The problem is posed in term...
    Alexei A. Efros, Volkan Isler, Jianbo Shi, Mirk&oa...
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    NIPS
    2004
    228views Information Technology» more  NIPS 2004»
    Sparse Coding of Natural Images Using an Overcomplete Set of Limited Capacity Units
    14 years 29 days ago
    Sparse Coding of Natural Images Using an Overcomplete Set of Limited Capacity Units
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    It has been suggested that the primary goal of the sensory system is to represent input in such a way as to reduce the high degree of redundancy. Given a noisy neural representati...
    Eizaburo Doi, Michael S. Lewicki
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    NIPS
    2004
    142views Information Technology» more  NIPS 2004»
    Pictorial Structures for Molecular Modeling: Interpreting Density Maps
    14 years 29 days ago
    Pictorial Structures for Molecular Modeling: Interpreting Density Maps
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    X-ray crystallography is currently the most common way protein structures are elucidated. One of the most time-consuming steps in the crystallographic process is interpretation of...
    Frank DiMaio, Jude W. Shavlik, George N. Phillips
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    NIPS
    2004
    119views Information Technology» more  NIPS 2004»
    Triangle Fixing Algorithms for the Metric Nearness Problem
    14 years 29 days ago
    Triangle Fixing Algorithms for the Metric Nearness Problem
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    Various problems in machine learning, databases, and statistics involve pairwise distances among a set of objects. It is often desirable for these distances to satisfy the propert...
    Inderjit S. Dhillon, Suvrit Sra, Joel A. Tropp
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    NIPS
    2004
    162views Information Technology» more  NIPS 2004»
    Bayesian inference in spiking neurons
    14 years 29 days ago
    Bayesian inference in spiking neurons
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    We propose a new interpretation of spiking neurons as Bayesian integrators accumulating evidence over time about events in the external world or the body, and communicating to oth...
    Sophie Deneve
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    NIPS
    2004
    111views Information Technology» more  NIPS 2004»
    The Power of Selective Memory: Self-Bounded Learning of Prediction Suffix Trees
    14 years 29 days ago
    The Power of Selective Memory: Self-Bounded Learning of Prediction Suffix Trees
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    Prediction suffix trees (PST) provide a popular and effective tool for tasks such as compression, classification, and language modeling. In this paper we take a decision theoretic...
    Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer
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