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» Learning Model Complexity in an Online Environment
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149
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WACV
2005
IEEE
15 years 9 months ago
Robust Salient Motion Detection with Complex Background for Real-Time Video Surveillance
Moving object detection is very important for video surveillance. In many environments, motion maybe either interesting (salient) motion (e.g., a person) or uninteresting motion (...
Ying-li Tian, Arun Hampapur
128
Voted
WWW
2008
ACM
16 years 4 months ago
Online auctions efficiency: a survey of ebay auctions
Online auctions have become a pervasive transaction mechanism for e-commerce. As the largest online marketplace in the world, eBay is an attractive case study that enables the stu...
Wenyan Hu, Alvaro Bolivar
149
Voted
ICAC
2008
IEEE
15 years 10 months ago
Generating Adaptation Policies for Multi-tier Applications in Consolidated Server Environments
Creating good adaptation policies is critical to building complex autonomic systems since it is such policies that define the system configuration used in any given situation. W...
Gueyoung Jung, Kaustubh R. Joshi, Matti A. Hiltune...
AAAI
2007
15 years 6 months ago
Combining Multiple Heuristics Online
We present black-box techniques for learning how to interleave the execution of multiple heuristics in order to improve average-case performance. In our model, a user is given a s...
Matthew J. Streeter, Daniel Golovin, Stephen F. Sm...
149
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Bayesian reinforcement learning for POMDP-based dialogue systems
Spoken dialogue systems are gaining popularity with improvements in speech recognition technologies. Dialogue systems can be modeled effectively using POMDPs, achieving improvemen...
ShaoWei Png, Joelle Pineau