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JVCIR
2006
140views more  JVCIR 2006»
15 years 1 months ago
Improved H.264 rate control by enhanced MAD-based frame complexity prediction
This paper presents a revised rate control scheme based on an improved frame complexity measure. Rate control adopted by both MPEG-4 VM18 and H.264/AVC use a quadratic rate-distor...
Xiaoquan Yi, Nam Ling
TMC
2008
91views more  TMC 2008»
15 years 1 months ago
Efficient and Resilient Backbones for Multihop Wireless Networks
We consider the problem of finding "backbones" in multihop wireless networks. The backbone provides end-toend connectivity, allowing non-backbone nodes to save energy sin...
Seungjoon Lee, Bobby Bhattacharjee, Aravind Sriniv...
TROB
2008
93views more  TROB 2008»
15 years 1 months ago
Using Sensor Morphology for Multirobot Formations
In formation-maintenance (formation control) tasks, robots maintain their relative position with respect to their peers, according to a desired geometric shape. Previous work has e...
Gal A. Kaminka, Ruti Schechter-Glick, Vladimir Sad...
JHSN
2000
112views more  JHSN 2000»
15 years 1 months ago
A hierarchical Quality of Service control architecture for configurable multimedia applications
In order to achieve the best application-level Quality-of-Service (QoS), multimedia applications need to be dynamically tuned and reconfigured to adapt to fluctuating computing an...
Baochun Li, William Kalter, Klara Nahrstedt
170
Voted
AI
1998
Springer
15 years 1 months ago
Model-Based Average Reward Reinforcement Learning
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Prasad Tadepalli, DoKyeong Ok
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