Extending beyond the boundaries of science, art, and culture, content-based multimedia
information retrieval provides new paradigms and methods for searching through the myriad …

Diagnostic radiology requires accurate interpretation of complex signals in medical images.
Content-based image retrieval (CBIR) techniques could be valuable to radiologists in …

Function and shape data analysis are old topics in statistics, studied off and on over the last
several decades. However, the early years of the new millennium saw a renewed focus and …

This paper introduces a square-root velocity (SRV) representation for analyzing shapes of
curves in euclidean spaces under an elastic metric. In this SRV representation, the elastic …

Complex multivariate testing problems are frequently encountered in many scientific
disciplines, such as engineering, medicine and the social sciences. As a result, modern …

Speech-driven facial animation methods should produce accurate and realistic lip motions
with natural expressions and realistic texture portraying target-specific facial characteristics …

In this paper, we examine image and video-based recognition applications where the
underlying models have a special structure-the linear subspace structure. We discuss how …

Constructing generative models for functional observations is an important task in statistical
functional analysis. In general, functional data contains both phase (or x or horizontal) and …

Shape similarity and shape retrieval are very important topics in computer vision. The recent
progress in this domain has been mostly driven by designing smart shape descriptors for …

This paper presents a novel probabilistic approach to hierarchical, exemplar-based shape
matching. No feature correspondence is needed among exemplars, just a suitable pairwise …