Principal component analysis (PCA) minimizes the sum of squared errors (L2-norm) and is sensitive to the presence of outliers. We propose a rotational invariant L1-norm PCA (R1-PC...
Chris H. Q. Ding, Ding Zhou, Xiaofeng He, Hongyuan...
: The STI CELL processor introduces pioneering solutions in processor architecture. At the same time it presents new challenges for the development of numerical algorithms. One is ...
In this paper we describe an efficient algorithm for the management of group-keys for Group Communication Systems. Our algorithm is based on the notion of key-graphs, previously u...
Background: Many programs have been developed to identify transcription factor binding sites. However, most of them are not able to infer two-word motifs with variable spacer leng...
Fabrice Touzain, Sophie Schbath, Isabelle Debled-R...
For more efficient organizing, browsing, and retrieving digital video content, it is important to extract video structure information at both scene and shot levels. This paper pre...