The problem of transfer learning, where information gained in one learning task is used to improve performance in another related task, is an important new area of research. While...
This paper introduces a flexible learning approach for image retrieval with relevance feedback. A semantic repository is constructed offline by applying the k-nearest-neighborbase...
Many techniques of knowledge-based segmentation consist of building statistical models that describe the deformations of the structure of interest, and then fit these models to t...
Charles Florin, Nikos Paragios, Gareth Funka-Lea, ...
We present a new method aimed at restoring structures in 3D US images. In our approach, 3D US data acquired with tilt devices is resampled into cylindrical coordinates with the pu...
Oscar Acosta, Hans Frimmel, Aaron Fenster, S&eacut...
Although text entry is a vital part of day-to-day computing familiar to most people, not much research has been done to enable text entry on large interactive tables. One might as...
Uta Hinrichs, Mark S. Hancock, M. Sheelagh T. Carp...