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ICIP
2003
IEEE
16 years 6 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
16 years 5 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»
15 years 4 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»
15 years 4 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 9 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