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DAGM
2006
Springer
15 years 10 months ago
Handling Camera Movement Constraints in Reinforcement Learning Based Active Object Recognition
In real world scenes, objects to be classified are usually not visible from every direction, since they are almost always positioned on some kind of opaque plane. When moving a cam...
Christian Derichs, Heinrich Niemann
FMOODS
2008
15 years 8 months ago
Symbolic Step Encodings for Object Based Communicating State Machines
In this work, novel symbolic step encodings of the transition relation for object based communicating state machines are presented. This class of systems is tailored to capture the...
Jori Dubrovin, Tommi A. Junttila, Keijo Heljanko
COOTS
1998
15 years 8 months ago
Mobile Objects and Agents (MOA)
This paper describes the design and implementation of the Mobile Objects and Agents (MOA) project at the Open Group Research Institute. MOA was designed to support migration, comm...
Dejan S. Milojicic, William LaForge, Deepika Chauh...
186
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COMCOM
2008
72views more  COMCOM 2008»
15 years 7 months ago
Stochastic analysis of the interplay between object maintenance and churn
Due to the prevalence of peer dynamics (i.e., churn), object maintenance becomes a fundamental issue in peer-to-peer storage systems. Although quite a few prototypes have been des...
Di Wu, Ye Tian, Kam-Wing Ng, Anwitaman Datta
IVC
2008
182views more  IVC 2008»
15 years 6 months ago
Ontology based complex object recognition
This paper presents an object categorization method. Our approach involves the following aspects of cognitive vision : machine learning and knowledge representation. A major eleme...
Nicolas Maillot, Monique Thonnat