We develop new techniques for time series classification based on hierarchical Bayesian generative models (called mixed-effect models) and the Fisher kernel derived from them. A k...
We propose use of an appearance manifold with embedded covariance matrix as a technique for recognizing 3D objects from images that are influenced by geometric and quality-degrade...
In this paper, we explore the discriminating subsequencebased clustering problem. First, several effective optimization techniques are proposed to accelerate the sequence mining p...
Jianyong Wang, Yuzhou Zhang, Lizhu Zhou, George Ka...
- Since the advent of model driven software engineering (MDSE) it has become necessary to develop techniques and tools for model evolution. In this paper we examine two issues and ...
In this paper it is studied how the analysis of the structure of the paper of Rembrandt's etchings can help determining the authenticity of the etchings and the dates of the ...
Jan C. A. van der Lubbe, Eugene P. van Someren, Ma...