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    NIPS
    2008
    188views Information Technology» more  NIPS 2008»
    Bayesian Kernel Shaping for Learning Control
    13 years 6 months ago
    Bayesian Kernel Shaping for Learning Control
    Download  eprints.pascal-network.org
    In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
    Jo-Anne Ting, Mrinal Kalakrishnan, Sethu Vijayakum...
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    NIPS
    2008
    170views Information Technology» more  NIPS 2008»
    Cascaded Classification Models: Combining Models for Holistic Scene Understanding
    13 years 6 months ago
    Cascaded Classification Models: Combining Models for Holistic Scene Understanding
    Download  www.cs.cornell.edu
    One of the original goals of computer vision was to fully understand a natural scene. This requires solving several sub-problems simultaneously, including object detection, region...
    Geremy Heitz, Stephen Gould, Ashutosh Saxena, Daph...
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    NIPS
    2008
    132views Information Technology» more  NIPS 2008»
    Learning with Consistency between Inductive Functions and Kernels
    13 years 6 months ago
    Learning with Consistency between Inductive Functions and Kernels
    Download  www.cs.rhul.ac.uk
    Regularized Least Squares (RLS) algorithms have the ability to avoid over-fitting problems and to express solutions as kernel expansions. However, we observe that the current RLS ...
    Haixuan Yang, Irwin King, Michael R. Lyu
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    NIPS
    2008
    142views Information Technology» more  NIPS 2008»
    Extracting State Transition Dynamics from Multiple Spike Trains with Correlated Poisson HMM
    13 years 6 months ago
    Extracting State Transition Dynamics from Multiple Spike Trains with Correlated Poisson HMM
    Download  books.nips.cc
    Neural activity is non-stationary and varies across time. Hidden Markov Models (HMMs) have been used to track the state transition among quasi-stationary discrete neural states. W...
    Kentaro Katahira, Jun Nishikawa, Kazuo Okanoya, Ma...
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    NIPS
    2008
    140views Information Technology» more  NIPS 2008»
    Hierarchical Fisher Kernels for Longitudinal Data
    13 years 6 months ago
    Hierarchical Fisher Kernels for Longitudinal Data
    Download  www.cs.utexas.edu
    We develop new techniques for time series classification based on hierarchical Bayesian generative models (called mixed-effect models) and the Fisher kernel derived from them. A k...
    Zhengdong Lu, Todd K. Leen, Jeffrey Kaye
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    NIPS
    2008
    116views Information Technology» more  NIPS 2008»
    On the Efficient Minimization of Classification Calibrated Surrogates
    13 years 6 months ago
    On the Efficient Minimization of Classification Calibrated Surrogates
    Download  www1.univ-ag.fr
    Bartlett et al (2006) recently proved that a ground condition for convex surrogates, classification calibration, ties up the minimization of the surrogates and classification risk...
    Richard Nock, Frank Nielsen
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    NIPS
    2008
    170views Information Technology» more  NIPS 2008»
    Effects of Stimulus Type and of Error-Correcting Code Design on BCI Speller Performance
    13 years 6 months ago
    Effects of Stimulus Type and of Error-Correcting Code Design on BCI Speller Performance
    Download  www.kyb.mpg.de
    From an information-theoretic perspective, a noisy transmission system such as a visual Brain-Computer Interface (BCI) speller could benefit from the use of errorcorrecting codes....
    N. Jeremy Hill, Jason Farquhar, Suzanna Martens, F...
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    NIPS
    2008
    131views Information Technology» more  NIPS 2008»
    Unsupervised Learning of Visual Sense Models for Polysemous Words
    13 years 6 months ago
    Unsupervised Learning of Visual Sense Models for Polysemous Words
    Download  people.csail.mit.edu
    Polysemy is a problem for methods that exploit image search engines to build object category models. Existing unsupervised approaches do not take word sense into consideration. We...
    Kate Saenko, Trevor Darrell
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    NIPS
    2008
    161views Information Technology» more  NIPS 2008»
    Partially Observed Maximum Entropy Discrimination Markov Networks
    13 years 6 months ago
    Partially Observed Maximum Entropy Discrimination Markov Networks
    Download  www.cs.cmu.edu
    Learning graphical models with hidden variables can offer semantic insights to complex data and lead to salient structured predictors without relying on expensive, sometime unatta...
    Jun Zhu, Eric P. Xing, Bo Zhang
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    NIPS
    2008
    121views Information Technology» more  NIPS 2008»
    Predictive Indexing for Fast Search
    13 years 6 months ago
    Predictive Indexing for Fast Search
    Download  www.stanford.edu
    Sharad Goel, John Langford, Alexander L. Strehl
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