Abstract. In this work we investigate several issues in order to improve the performance of probabilistic estimation trees (PETs). First, we derive a new probability smoothing that...
We outline a method for measuring in an efficient way an overall degree of similarity between different leaf-labelled trees. In particular, we consider rooted trees, either unorde...
We propose a simple, novel and yet effective method for building and testing decision trees that minimizes the sum of the misclassification and test costs. More specifically, we f...
Charles X. Ling, Qiang Yang, Jianning Wang, Shicha...
Many computer vision problems involving feature correspondence among images can be formulated as an assignment problem with a quadratic cost function. Such problems are computatio...
In this paper, we propose an integrated error resilient MDC scheme for wireless networks with both packet loss and random bit errors. Two descriptions are first generated independ...