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    NIPS
    2008
    261views Information Technology» more  NIPS 2008»
    Learning a discriminative hidden part model for human action recognition
    13 years 6 months ago
    Learning a discriminative hidden part model for human action recognition
    Download  netfiles.uiuc.edu
    We present a discriminative part-based approach for human action recognition from video sequences using motion features. Our model is based on the recently proposed hidden conditi...
    Yang Wang 0003, Greg Mori
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    NIPS
    2008
    132views Information Technology» more  NIPS 2008»
    Multi-label Multiple Kernel Learning
    13 years 6 months ago
    Multi-label Multiple Kernel Learning
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    We present a multi-label multiple kernel learning (MKL) formulation in which the data are embedded into a low-dimensional space directed by the instancelabel correlations encoded ...
    Shuiwang Ji, Liang Sun, Rong Jin, Jieping Ye
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    NIPS
    2008
    125views Information Technology» more  NIPS 2008»
    Multi-resolution Exploration in Continuous Spaces
    13 years 6 months ago
    Multi-resolution Exploration in Continuous Spaces
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    The essence of exploration is acting to try to decrease uncertainty. We propose a new methodology for representing uncertainty in continuous-state control problems. Our approach, ...
    Ali Nouri, Michael L. Littman
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    NIPS
    2008
    108views Information Technology» more  NIPS 2008»
    Evaluating probabilities under high-dimensional latent variable models
    13 years 6 months ago
    Evaluating probabilities under high-dimensional latent variable models
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    We present a simple new Monte Carlo algorithm for evaluating probabilities of observations in complex latent variable models, such as Deep Belief Networks. While the method is bas...
    Iain Murray, Ruslan Salakhutdinov
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    NIPS
    2008
    144views Information Technology» more  NIPS 2008»
    Non-parametric Regression Between Manifolds
    13 years 6 months ago
    Non-parametric Regression Between Manifolds
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    This paper discusses non-parametric regression between Riemannian manifolds. This learning problem arises frequently in many application areas ranging from signal processing, comp...
    Florian Steinke, Matthias Hein
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    NIPS
    2008
    165views Information Technology» more  NIPS 2008»
    Clustering via LP-based Stabilities
    13 years 6 months ago
    Clustering via LP-based Stabilities
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    A novel center-based clustering algorithm is proposed in this paper. We first formulate clustering as an NP-hard linear integer program and we then use linear programming and the ...
    Nikos Komodakis, Nikos Paragios, Georgios Tziritas
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    NIPS
    2008
    199views Information Technology» more  NIPS 2008»
    Overlaying classifiers: a practical approach for optimal ranking
    13 years 6 months ago
    Overlaying classifiers: a practical approach for optimal ranking
    Download  www.cmla.ens-cachan.fr
    ROC curves are one of the most widely used displays to evaluate performance of scoring functions. In the paper, we propose a statistical method for directly optimizing the ROC cur...
    Stéphan Clémençon, Nicolas Va...
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    NIPS
    2008
    159views Information Technology» more  NIPS 2008»
    Clustered Multi-Task Learning: A Convex Formulation
    13 years 6 months ago
    Clustered Multi-Task Learning: A Convex Formulation
    Download  www.di.ens.fr
    In multi-task learning several related tasks are considered simultaneously, with the hope that by an appropriate sharing of information across tasks, each task may benefit from th...
    Laurent Jacob, Francis Bach, Jean-Philippe Vert
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    NIPS
    2008
    101views Information Technology» more  NIPS 2008»
    Tracking Changing Stimuli in Continuous Attractor Neural Networks
    13 years 6 months ago
    Tracking Changing Stimuli in Continuous Attractor Neural Networks
    Download  repository.ust.hk
    Continuous attractor neural networks (CANNs) are emerging as promising models for describing the encoding of continuous stimuli in neural systems. Due to the translational invaria...
    C. C. Alan Fung, K. Y. Michael Wong, Si Wu
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    NIPS
    2008
    158views Information Technology» more  NIPS 2008»
    Mind the Duality Gap: Logarithmic regret algorithms for online optimization
    13 years 6 months ago
    Mind the Duality Gap: Logarithmic regret algorithms for online optimization
    Download  ttic.uchicago.edu
    We describe a primal-dual framework for the design and analysis of online strongly convex optimization algorithms. Our framework yields the tightest known logarithmic regret bound...
    Shai Shalev-Shwartz, Sham M. Kakade
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