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    NIPS
    2007
    168views Information Technology» more  NIPS 2007»
    Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing
    14 years 2 months ago
    Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing
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    Brain-Computer Interfaces can suffer from a large variance of the subject conditions within and across sessions. For example vigilance fluctuations in the individual, variable ta...
    Benjamin Blankertz, Motoaki Kawanabe, Ryota Tomiok...
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    NIPS
    2007
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    A Probabilistic Approach to Language Change
    14 years 2 months ago
    A Probabilistic Approach to Language Change
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    We present a probabilistic approach to language change in which word forms are represented by phoneme sequences that undergo stochastic edits along the branches of a phylogenetic ...
    Alexandre Bouchard-Côté, Percy Liang,...
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    NIPS
    2007
    166views Information Technology» more  NIPS 2007»
    Unsupervised Feature Selection for Accurate Recommendation of High-Dimensional Image Data
    14 years 2 months ago
    Unsupervised Feature Selection for Accurate Recommendation of High-Dimensional Image Data
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    Content-based image suggestion (CBIS) targets the recommendation of products based on user preferences on the visual content of images. In this paper, we motivate both feature sel...
    Sabri Boutemedjet, Djemel Ziou, Nizar Bouguila
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    NIPS
    2007
    138views Information Technology» more  NIPS 2007»
    Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes
    14 years 2 months ago
    Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes
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    Neural spike trains present challenges to analytical efforts due to their noisy, spiking nature. Many studies of neuroscientific and neural prosthetic importance rely on a smooth...
    John P. Cunningham, Byron M. Yu, Krishna V. Shenoy...
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    NIPS
    2007
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    A Bayesian Model of Conditioned Perception
    14 years 2 months ago
    A Bayesian Model of Conditioned Perception
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    Alan Stocker, Eero P. Simoncelli
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    NIPS
    2007
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    Collapsed Variational Inference for HDP
    14 years 2 months ago
    Collapsed Variational Inference for HDP
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    A wide variety of Dirichlet-multinomial ‘topic’ models have found interesting applications in recent years. While Gibbs sampling remains an important method of inference in su...
    Yee Whye Teh, Kenichi Kurihara, Max Welling
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    NIPS
    2007
    278views Information Technology» more  NIPS 2007»
    Unconstrained On-line Handwriting Recognition with Recurrent Neural Networks
    14 years 2 months ago
    Unconstrained On-line Handwriting Recognition with Recurrent Neural Networks
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    In online handwriting recognition the trajectory of the pen is recorded during writing. Although the trajectory provides a compact and complete representation of the written outpu...
    Alex Graves, Santiago Fernández, Marcus Liw...
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    NIPS
    2007
    134views Information Technology» more  NIPS 2007»
    On Sparsity and Overcompleteness in Image Models
    14 years 2 months ago
    On Sparsity and Overcompleteness in Image Models
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    Computational models of visual cortex, and in particular those based on sparse coding, have enjoyed much recent attention. Despite this currency, the question of how sparse or how...
    Pietro Berkes, Richard Turner, Maneesh Sahani
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    NIPS
    2007
    131views Information Technology» more  NIPS 2007»
    Testing for Homogeneity with Kernel Fisher Discriminant Analysis
    14 years 2 months ago
    Testing for Homogeneity with Kernel Fisher Discriminant Analysis
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    We propose to investigate test statistics for testing homogeneity based on kernel Fisher discriminant analysis. Asymptotic null distributions under null hypothesis are derived, an...
    Zaïd Harchaoui, Francis Bach, Eric Moulines
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    NIPS
    2007
    127views Information Technology» more  NIPS 2007»
    On higher-order perceptron algorithms
    14 years 2 months ago
    On higher-order perceptron algorithms
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    A new algorithm for on-line learning linear-threshold functions is proposed which efficiently combines second-order statistics about the data with the ”logarithmic behavior” ...
    Claudio Gentile, Fabio Vitale, Cristian Brotto
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