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DGCI
2009
Springer
14 years 2 months ago
Pixel Approximation Errors in Common Watershed Algorithms
Abstract. The exact, subpixel watershed algorithm delivers very accurate watershed boundaries based on a spline interpolation, but is slow and only works in 2D. On the other hand, ...
Hans Meine, Peer Stelldinger, Ullrich Köthe
DATE
1999
IEEE
80views Hardware» more  DATE 1999»
14 years 2 months ago
Symbolic Reachability Analysis of Large Finite State Machines Using Don't Cares
Reachability analysis of finite state machines is essential to many computer-aided design applications. We present new techniques to improve both approximate and exact reachabilit...
Youpyo Hong, Peter A. Beerel
SIGMOD
2001
ACM
160views Database» more  SIGMOD 2001»
14 years 10 months ago
Adaptive Precision Setting for Cached Approximate Values
Caching approximate values instead of exact values presents an opportunity for performance gains in exchange for decreased precision. To maximize the performance improvement, cach...
Chris Olston, Boon Thau Loo, Jennifer Widom
SIGMOD
2009
ACM
111views Database» more  SIGMOD 2009»
14 years 10 months ago
Language-model-based ranking in entity-relation graphs
We propose a language-model-based ranking approach for SPARQLlike queries on entity-relationship graphs. Our ranking model supports exact matching, approximate structure matching,...
Shady Elbassuoni, Maya Ramanath, Gerhard Weikum
AUSAI
2006
Springer
14 years 1 months ago
Efficient AUC Learning Curve Calculation
Abstract. A learning curve of a performance measure provides a graphical method with many benefits for judging classifier properties. The area under the ROC curve (AUC) is a useful...
Remco R. Bouckaert