Both example-based and model-based approaches for classifying contour shapes can encounter difficulties when dealing with classes that have large nonlinear variability, especially...
Model order selection and cue combination are both difficult open problems in the area of clustering. In this work we build upon stability-based approaches to develop a new method...
Andrew Rabinovich, Serge Belongie, Tilman Lange, J...
Image restoration is a keen problem of low level vision. In this paper, we propose a novel - assumption-free on the noise model - technique based on random walks for image enhancem...
Online approaches to physical design tuning have received considerable attention in the recent literature, with a focus on the problem of online index selection. However, it is dif...
This paper is concerned with motion estimation in transparent X-Ray image sequences. Most of these medical images can be divided into areas containing at most two moving transpare...