Exploiting hidden structure in selecting dimensions that distinguish vectors

Vincent Froese, René Van Bevern, Rolf Niedermeier, Manuel Sorge

Результат исследования: Научные публикации в периодических изданияхстатья

3 Цитирования (Scopus)

Аннотация

The NP-hard Distinct Vectors problem asks to delete as many columns as possible from a matrix such that all rows in the resulting matrix are still pairwise distinct. Our main result is that, for binary matrices, there is a complexity dichotomy for Distinct Vectors based on the maximum (H) and the minimum (h) pairwise Hamming distance between matrix rows: Distinct Vectors can be solved in polynomial time if H≤2[h/2]+1, and is NP-complete otherwise. Moreover, we explore connections of Distinct Vectors to hitting sets, thereby providing several fixed-parameter tractability and intractability results also for general matrices.

Язык оригиналаанглийский
Страницы (с-по)521-535
Число страниц15
ЖурналJournal of Computer and System Sciences
Том82
Номер выпуска3
DOI
СостояниеОпубликовано - 1 янв 2016

Fingerprint Подробные сведения о темах исследования «Exploiting hidden structure in selecting dimensions that distinguish vectors». Вместе они формируют уникальный семантический отпечаток (fingerprint).

  • Цитировать