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» Learning minimal abstractions
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113
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MM
2006
ACM
218views Multimedia» more  MM 2006»
15 years 6 months ago
SmartLabel: an object labeling tool using iterated harmonic energy minimization
Labeling objects in images is an essential prerequisite for many visual learning and recognition applications that depend on training data, such as image retrieval, object detecti...
Wen Wu, Jie Yang
FOSSACS
2009
Springer
15 years 7 months ago
Minimal Cost Reachability/Coverability in Priced Timed Petri Nets
Abstract. We extend discrete-timed Petri nets with a cost model that assigns token storage costs to places and firing costs to transitions, and study the minimal cost reachability...
Parosh Aziz Abdulla, Richard Mayr
IJCAI
1989
15 years 1 months ago
Induction in an Abstraction Space: A Form of Constructive Induction
N IN AN ABSTRACTION SPACE: A Form of Constructive Induction George Drastal and Gabor Czako Siemens Research and Technology Laboratories 755 College Rd Princeton, NJ 08540 We repor...
George Drastal, Gabor Czako, Stan Raatz
88
Voted
STACS
2009
Springer
15 years 7 months ago
On the Average Complexity of Moore's State Minimization Algorithm
Abstract. We prove that, for any arbitrary finite alphabet and for the uniform distribution over deterministic and accessible automata with n states, the average complexity of Moo...
Frédérique Bassino, Julien David, Cy...
CIE
2009
Springer
15 years 4 months ago
Algorithmic Minimal Sufficient Statistic Revisited
Abstract. We express some criticism about the definition of an algorithmic sufficient statistic and, in particular, of an algorithmic minimal sufficient statistic. We propose anoth...
Nikolay K. Vereshchagin