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PIMRC
2010
IEEE
13 years 8 months ago
How to improve the performance in Delay Tolerant Networks under Manhattan Mobility Model
Delay Tolerant networks (DTNs) are one type of wireless networks where the number of nodes per unit area is small and hence the connectivity between the nodes is intermittent. In t...
Mouna Abdelmoumen, Eya Dhib, Mounir Frikha, Tijani...
ECML
2004
Springer
14 years 4 months ago
Improving Random Forests
Random forests are one of the most successful ensemble methods which exhibits performance on the level of boosting and support vector machines. The method is fast, robust to noise,...
Marko Robnik-Sikonja
ACL
2006
14 years 11 days ago
Semi-Supervised Conditional Random Fields for Improved Sequence Segmentation and Labeling
We present a new semi-supervised training procedure for conditional random fields (CRFs) that can be used to train sequence segmentors and labelers from a combination of labeled a...
Feng Jiao, Shaojun Wang, Chi-Hoon Lee, Russell Gre...
AVSS
2006
IEEE
14 years 5 months ago
A Random Field Model for Improved Feature Extraction and Tracking
This paper presents a novel method for illuminationinvariant and contrast preserving feature extraction, aimed at improving performance of tracking under complex light condition. ...
Xiaotong Yuan, Stan Z. Li
INFOCOM
2007
IEEE
14 years 5 months ago
Performance of Random Access Scheduling Schemes in Multi-Hop Wireless Networks
Abstract— The performance of scheduling schemes in multihop wireless networks has attracted significant attention in the recent literature. It is well known that optimal schedul...
Changhee Joo, Ness B. Shroff