In order to overcome poor readability of text and recognizability of image features in low resolution thumbnails, a novel image representation of compound document images - a Smar...
Kathrin Berkner, Edward L. Schwartz, Christophe Ma...
This work presents a new approach for a wide analysis of the shape of breast tumors in ultrasound images. We have developed an environment for the filtering of the images, the seg...
We describe the process of converting plain text cultural heritage data to elements of a domain-specific knowledge base, using general machine learning techniques. First, digitise...
We propose a method to estimate dense motion vector fields from multi-exposure images. Our approach relies on finding a sparse set of correspondences between features in a single-...
We present a scalable distributed database system called SD-SQL Server. Its original feature is dynamic and transparent repartitioning of growing tables, avoiding the cumbersome ma...