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» Data Structures with Unpredictable Timing
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SIGMOD
2000
ACM
164views Database» more  SIGMOD 2000»
15 years 2 months ago
A Data Model and Data Structures for Moving Objects Databases
We consider spatio-temporal databases supporting spatial objects with continuously changing position and extent, termed moving objects databases. We formally define a data model f...
Luca Forlizzi, Ralf Hartmut Güting, Enrico Na...
SIGMOD
2011
ACM
455views Database» more  SIGMOD 2011»
14 years 13 days ago
DBWiki: a structured wiki for curated data and collaborative data management
Wikis have proved enormously successful as a means to collaborate in the creation and publication of textual information. At the same time, a large number of curated databases hav...
Peter Buneman, James Cheney, Sam Lindley, Heiko M&...
AUSDM
2007
Springer
145views Data Mining» more  AUSDM 2007»
15 years 3 months ago
Discovering Frequent Sets from Data Streams with CPU Constraint
Data streams are usually generated in an online fashion characterized by huge volume, rapid unpredictable rates, and fast changing data characteristics. It has been hence recogniz...
Xuan Hong Dang, Wee Keong Ng, Kok-Leong Ong, Vince...
ICCV
2007
IEEE
15 years 4 months ago
Structure from Motion with Missing Data is NP-Hard
This paper shows that structure from motion is NP-hard for most sensible cost functions when missing data is allowed. The result provides a fundamental limitation of what is possi...
David Nistér, Fredrik Kahl, Henrik Stew&eac...
ADMA
2006
Springer
121views Data Mining» more  ADMA 2006»
15 years 3 months ago
A New Polynomial Time Algorithm for Bayesian Network Structure Learning
We propose a new algorithm called SCD for learning the structure of a Bayesian network. The algorithm is a kind of constraintbased algorithm. By taking advantage of variable orderi...
Sanghack Lee, Jihoon Yang, Sungyong Park