Now showing items 1-7 of 7

  • CORT: Classification Or Regression Trees 

    Scott, Clayton; Willett, Rebecca; Nowak, Robert David (2003-04-20)
    In this paper we challenge three of the underlying principles of CART, a well know approach to the construction of classification and regression trees. Our primary concern is with the penalization strategy employed to prune ...
  • CORT: Classification Or Regression Trees 

    Scott, Clayton; Willett, Rebecca; Nowak, Robert David (2003-06-20)
    In this paper we challenge three of the underlying principles of CART, a well know approach to the construction of classification and regression trees. Our primary concern is with the penalization strategy employed to prune ...
  • Dyadic decision trees 

    Scott, Clayton (2004)
    This thesis introduces a new family of classifiers called dyadic decision trees (DDTs) and develops their theoretical properties within the framework of statistical learning theory. First, we show that DDTs achieve optimal ...
  • A Hierarchical Wavelet-Based Framework for Pattern Analysis and Synthesis 

    Scott, Clayton (2000-04-20)
    Despite their success in other areas of statsitical signal processing, current wavelet-based image models are inadequate for modeling patterns in images, due to the presence of unknown transformations inherent in most ...
  • Hierarchical Wavelet-Based Image Model for Pattern Analysis and Synthesis 

    Scott, Clayton; Nowak, Robert David (2000-07-20)
    Despite their success in other areas of statistical signal processing, current wavelet-based image models are inadequate for modeling patterns in images, due to the presence of unknown transformations (e.g., translation, ...
  • TEMPLAR: A Wavelet-Based Framework for Pattern Learning and Analysis 

    Scott, Clayton; Nowak, Robert David (2001-04-20)
    Despite the success of wavelet decompositions in other areas of statistical signal and image processing, current wavelet-based image models are inadequate for modeling patterns in images, due to the presence of unknown ...
  • Template Learning from Atomic Representations: A Wavelet-Based Approach to Pattern Analysis 

    Scott, Clayton; Nowak, Robert David (2001-04-20)
    Despite the success of wavelet decompositions in other areas of statistical signal and image processing, current wavelet-based image models are inadequate for modeling patterns in images, due to the presence of unknown ...