Now showing items 1-4 of 4

    • Boosting Image Database Retrieval 

      Tieu, Kinh; Viola, Paul (1999-09-10)
      We present an approach for image database retrieval using a very large number of highly-selective features and simple on-line learning. Our approach is predicated on the assumption that each image is generated by a ...
    • Complex Feature Recognition: A Bayesian Approach for Learning to Recognize Objects 

      Viola, Paul (1996-11-01)
      We have developed a new Bayesian framework for visual object recognition which is based on the insight that images of objects can be modeled as a conjunction of local features. This framework can be used to both derive ...
    • Fast Pose Estimation with Parameter Sensitive Hashing 

      Shakhnarovich, Gregory; Viola, Paul; Darrell, Trevor (2003-04-18)
      Example-based methods are effective for parameter estimation problems when the underlying system is simple or the dimensionality of the input is low. For complex and high-dimensional problems such as pose estimation, ...
    • Restructuring Sparse High Dimensional Data for Effective Retrieval 

      Isbell, Charles; Viola, Paul (1998-05-01)
      The task in text retrieval is to find the subset of a collection of documents relevant to a user's information request, usually expressed as a set of words. Classically, documents and queries are represented as vectors ...