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    IJCAI
    2007
    184views Artificial Intelligence» more  IJCAI 2007»
    Incremental Learning of Perceptual Categories for Open-Domain Sketch Recognition
    14 years 11 months ago
    Incremental Learning of Perceptual Categories for Open-Domain Sketch Recognition
    Download  www.qrg.northwestern.edu
    Most existing sketch understanding systems require a closed domain to achieve recognition. This paper describes an incremental learning technique for opendomain recognition. Our s...
    Andrew M. Lovett, Morteza Dehghani, Kenneth D. For...
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    IJCAI
    2007
    185views Artificial Intelligence» more  IJCAI 2007»
    Feature Based Occupancy Grid Maps for Sonar Based Safe-Mapping
    14 years 11 months ago
    Feature Based Occupancy Grid Maps for Sonar Based Safe-Mapping
    Download  robotics.iiit.ac.in
    This paper presents a methodology for integrating features within the occupancy grid (OG) framework. The OG maps provide a dense representation of the environment. In particular t...
    Amit Kumar Pandey, K. Madhava Krishna, Mainak Nath
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    PST
    2004
    102views Security Privacy» more  PST 2004»
    Determining Internet Users' Values for Private Information
    14 years 11 months ago
    Determining Internet Users' Values for Private Information
    Download  dev.hil.unb.ca
    We examine the problem of determining a user's value for his/her private information. Web businesses often offer rewards, such as discounts, free downloads and website persona...
    Scott Buffett, Nathan Scott, Bruce Spencer, Michae...
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    UAI
    2001
    102views Artificial Intelligence» more  UAI 2001»
    Exact Inference in Networks with Discrete Children of Continuous Parents
    14 years 11 months ago
    Exact Inference in Networks with Discrete Children of Continuous Parents
    Download  ai.stanford.edu
    Many real life domains contain a mixture of discrete and continuous variables and can be modeled as hybrid Bayesian Networks (BNs). An important subclass of hybrid BNs are conditi...
    Uri Lerner, Eran Segal, Daphne Koller
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    UAI
    2003
    212views Artificial Intelligence» more  UAI 2003»
    Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes
    14 years 11 months ago
    Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes
    Download  research.microsoft.com
    Collaborative filtering (CF) and contentbased filtering (CBF) have widely been used in information filtering applications, both approaches having their individual strengths and...
    Kai Yu, Anton Schwaighofer, Volker Tresp, Wei-Ying...
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