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ICML
2007
IEEE
14 years 8 months ago
Conditional random fields for multi-agent reinforcement learning
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
Xinhua Zhang, Douglas Aberdeen, S. V. N. Vishwanat...
MOBICOM
2006
ACM
14 years 1 months ago
Localized algorithm for aggregate fairness in wireless sensor networks
For data-collection applications in sensor networks, it is important to ensure all data sources have equal (or weighted) access to network bandwidth so that the base stations rece...
Shigang Chen, Zhan Zhang
PERCOM
2008
ACM
14 years 7 months ago
Stability and Delay Analysis for Multi-Hop Single-Sink Wireless Sensor Networks
Wireless sensor networks are commonly used to monitor and control the physical world. To provide a meaningful service such as disaster and emergency surveillance, meeting real-tim...
Muhammad Farukh Munir, Arzad Alam Kherani, Fethi F...
SASN
2006
ACM
14 years 1 months ago
RANBAR: RANSAC-based resilient aggregation in sensor networks
We present a novel outlier elimination technique designed for sensor networks. This technique is called RANBAR and it is based on the RANSAC (RANdom SAmple Consensus) paradigm, wh...
Levente Buttyán, Péter Schaffer, Ist...
CVPR
2009
IEEE
14 years 2 months ago
A distribution-based approach to tracking points in velocity vector fields
We address the problem of tracking points in dense vector fields. Such vector fields may come from computational fluid dynamics simulations, environmental monitoring sensors, o...
Liefei Xu, H. Quynh Dinh, Eugene Zhang, Zhongzang ...