Title of Dissertation: CLASSIFICATION AND COMPRESSION OF MULTIRESOLUTION VECTORS: A TREE STRUCTURED VECTOR QUANTIZER APPROACH Sudhir Varma, Doctor of Philosophy, 2002 Dissertation directed by: Professor John S. Baras Department of Electrical and Computer Engineering Tree structured classifiers and quantizers have been used with good success for problems ranging from successive refinement coding...

Amethod of generalized regression that blends tree-structured nonparametric regression and adaptive recursive partitioning with maximum likelihood estimation is studied. The function estimate is a piecewise polynomial, with the pieces determined by the terminal nodes of a binary decision tree. The decision tree is constructed by recursively partitioning the data according to the signs of the re...

ABSTRACT Quad-tree structured motion-compensation technique effectively utilizes the motion content of a frame as oppose to fixed size block motion compensation technique. In this paper, we propose a novel quad-tree-structured region-wise motion compensation technique that divides a frame into equilateral triangle blocks using the quad-tree structure. Arbitrary partition shapes are achieved by ...

A method of generalized regression that blends tree-structured nonparametric regression and adaptive recursive partitioning with maximum likelihood estimation is studied. The function estimate is a piecewise polynomial, with the pieces determined by the terminal nodes of a binary decision tree. The decision tree is constructed by recursively partitioning the data according to the signs of the r...