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ICIP
2003
IEEE
15 years 11 months ago
Graph-based object tracking
This paper proposes a model-based methodology for recognizing and tracking objects in digital image sequences. Objects are represented by attributed relational graphs (or ARGs), w...
Cristina Gomila, Fernand Meyer
ICML
2003
IEEE
15 years 10 months ago
Using Linear-threshold Algorithms to Combine Multi-class Sub-experts
We present a new type of multi-class learning algorithm called a linear-max algorithm. Linearmax algorithms learn with a special type of attribute called a sub-expert. A sub-exper...
Chris Mesterharm
IDT
2008
123views more  IDT 2008»
14 years 10 months ago
A rich semantic model of track as a foundation for sharing beliefs regarding dynamic objects and events
: Many defense, homeland security, and commercial security objectives require continuous tracking of mobile entities such as aircraft. The systems that perform these functions prod...
Frederick Hayes-Roth, Curtis L. Blais
JCSS
2008
138views more  JCSS 2008»
14 years 9 months ago
Reducing mechanism design to algorithm design via machine learning
We use techniques from sample-complexity in machine learning to reduce problems of incentive-compatible mechanism design to standard algorithmic questions, for a broad class of re...
Maria-Florina Balcan, Avrim Blum, Jason D. Hartlin...
PEPM
1999
ACM
15 years 2 months ago
Declarative Aspect-Oriented Programming
Aspect-oriented programming addresses the problem that the implementation of some properties such as error handling and optimization tends to cross-cut the basic functionality. To...
Ralf Lämmel