Decision trees have proved to be valuable tools for the description, classification and
generalization of data. Work on constructing decision trees from data exists in multiple …

Pattern recognition has long been studied in relation to many different (and mainly
unrelated) applications, such as remote sensing, computer vision, space research, and …

A survey is presented of current methods for decision tree classifier (DTC) designs and the
various existing issues. After considering potential advantages of DTCs over single-state …

This chapter reviews the literature and the scientific and engineering state of the art of
models of document-image degradation. Images of paper documents are almost inevitably …

Twenty Years of Document Image Analysis in PAMI Toggle navigation IEEE Computer
Society Digital Library Jobs Tech News Resource Center Press Room Advertising About Us …

In this paper, a new method of fuzzy decision trees called soft decision trees (SDT) is
presented. This method combines tree growing and pruning, to determine the structure of …

An efficient iterative method is proposed to grow and prune classification trees. This method
divides the data sample into two subsets and iteratively grows a tree with one subset and …

A fuzzy decision tree is constructed by allowing the possibility of partial membership of a
point in the nodes that make up the tree structure. This extension of its expressive …

On growing better decision trees from data On growing better decision trees from data Abstract
This thesis investigates the problem of growing decision trees from data, for the purposes of …

The accuracy of today's document recognition algorithms falls abruptly when image quality
degrades even slightly. In an effort to surmount this barrier, researchers have in recent years …