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ICVS
2001
Springer
14 years 2 months ago
Adapting Object Recognition across Domains: A Demonstration
High-level vision systems use object, scene or domain specific knowledge to interpret images. Unfortunately, this knowledge has to be acquired for every domain. This makes it diffi...
Bruce A. Draper, Ulrike Ahlrichs, Dietrich Paulus
HYBRID
1998
Springer
14 years 2 months ago
A Novel Modular Neural Architecture for Rule-Based and Similarity-Based Reasoning
Hybridconnectionist symbolic systems have been the subject of muchrecent research in AI. By focusing on the implementation of highlevel human cognitive processes e.g., rule-based i...
Rafal Bogacz, Christophe G. Giraud-Carrier
IJSNET
2006
145views more  IJSNET 2006»
13 years 10 months ago
RL-MAC: a reinforcement learning based MAC protocol for wireless sensor networks
:This paper introduces RL-MAC, a novel adaptive MediaAccess Control (MAC) protocol for Wireless Sensor Networks (WSN) that employs a reinforcement learning framework. Existing sche...
Zhenzhen Liu, Itamar Elhanany
CVPR
2008
IEEE
15 years 8 days ago
Physical simulation for probabilistic motion tracking
Human motion tracking is an important problem in computer vision. Most prior approaches have concentrated on efficient inference algorithms and prior motion models; however, few c...
Marek Vondrak, Leonid Sigal, Odest Chadwicke Jenki...
CCS
2005
ACM
14 years 3 months ago
Preventing attribute information leakage in automated trust negotiation
Automated trust negotiation is an approach which establishes trust between strangers through the bilateral, iterative disclosure of digital credentials. Sensitive credentials are ...
Keith Irwin, Ting Yu