Within-network regression addresses the task of regression in partially labeled networked data where labels are sparse and continuous. Data for inference consist of entities associ...
—Linguistic summarization (LS) is a data mining or knowledge discovery approach to extract patterns from databases. Many authors have used this technique to generate summaries li...
Caching approximate values instead of exact values presents an opportunity for performance gains in exchange for decreased precision. To maximize the performance improvement, cach...
So far, most image mining was based on interactive querying. Although
such querying will remain important in the future, several
applications need image mining at such wide scale...
Luc J. Van Gool, Michael D. Breitenstein, Stephan ...
We present a logic for reasoning about LOTOS behaviours which allows properties involving repeated patterns over actions and data to be expressed. The semantics of the logic is giv...