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    NIPS
    2004
    220views Information Technology» more  NIPS 2004»
    The power of feature clustering: An application to object detection
    13 years 11 months ago
    The power of feature clustering: An application to object detection
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    We give a fast rejection scheme that is based on image segments and demonstrate it on the canonical example of face detection. However, instead of focusing on the detection step w...
    Shai Avidan, Moshe Butman
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    NIPS
    2004
    133views Information Technology» more  NIPS 2004»
    Comparing Beliefs, Surveys, and Random Walks
    13 years 11 months ago
    Comparing Beliefs, Surveys, and Random Walks
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    Survey propagation is a powerful technique from statistical physics that has been applied to solve the 3-SAT problem both in principle and in practice. We give, using only probabi...
    Erik Aurell, Uri Gordon, Scott Kirkpatrick
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    NIPS
    2004
    105views Information Technology» more  NIPS 2004»
    Harmonising Chorales by Probabilistic Inference
    13 years 11 months ago
    Harmonising Chorales by Probabilistic Inference
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    We describe how we used a data set of chorale harmonisations composed by Johann Sebastian Bach to train Hidden Markov Models. Using a probabilistic framework allows us to create a...
    Moray Allan, Christopher K. I. Williams
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    NIPS
    2004
    128views Information Technology» more  NIPS 2004»
    Learning Preferences for Multiclass Problems
    13 years 11 months ago
    Learning Preferences for Multiclass Problems
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    Many interesting multiclass problems can be cast in the general framework of label ranking defined on a given set of classes. The evaluation for such a ranking is generally given ...
    Fabio Aiolli, Alessandro Sperduti
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    NIPS
    2004
    109views Information Technology» more  NIPS 2004»
    A Large Deviation Bound for the Area Under the ROC Curve
    13 years 11 months ago
    A Large Deviation Bound for the Area Under the ROC Curve
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    The area under the ROC curve (AUC) has been advocated as an evaluation criterion for the bipartite ranking problem. We study large deviation properties of the AUC; in particular, ...
    Shivani Agarwal, Thore Graepel, Ralf Herbrich, Dan...
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    NIPS
    2004
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    Support Vector Classification with Input Data Uncertainty
    13 years 11 months ago
    Support Vector Classification with Input Data Uncertainty
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    This paper investigates a new learning model in which the input data is corrupted with noise. We present a general statistical framework to tackle this problem. Based on the stati...
    Jinbo Bi, Tong Zhang
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    NIPS
    2004
    112views Information Technology» more  NIPS 2004»
    Learning first-order Markov models for control
    13 years 11 months ago
    Learning first-order Markov models for control
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    First-order Markov models have been successfully applied to many problems, for example in modeling sequential data using Markov chains, and modeling control problems using the Mar...
    Pieter Abbeel, Andrew Y. Ng
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    NIPS
    2004
    100views Information Technology» more  NIPS 2004»
    Large-Scale Prediction of Disulphide Bond Connectivity
    13 years 11 months ago
    Large-Scale Prediction of Disulphide Bond Connectivity
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    The formation of disulphide bridges among cysteines is an important feature of protein structures. Here we develop new methods for the prediction of disulphide bond connectivity. ...
    Pierre Baldi, Jianlin Cheng, Alessandro Vullo
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    NIPS
    2004
    201views Information Technology» more  NIPS 2004»
    Co-Training and Expansion: Towards Bridging Theory and Practice
    13 years 11 months ago
    Co-Training and Expansion: Towards Bridging Theory and Practice
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    Co-training is a method for combining labeled and unlabeled data when examples can be thought of as containing two distinct sets of features. It has had a number of practical succ...
    Maria-Florina Balcan, Avrim Blum, Ke Yang
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    NIPS
    2004
    152views Information Technology» more  NIPS 2004»
    Breaking SVM Complexity with Cross-Training
    13 years 11 months ago
    Breaking SVM Complexity with Cross-Training
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    We propose to selectively remove examples from the training set using probabilistic estimates related to editing algorithms (Devijver and Kittler, 1982). This heuristic procedure ...
    Gökhan H. Bakir, Léon Bottou, Jason We...
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