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» Measuring Distributional Similarity in Context
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IAT
2009
IEEE
16 years 15 days ago
Cluster-Swap: A Distributed K-median Algorithm for Sensor Networks
In building practical sensor networks, it is often beneficial to use only a subset of sensors to take measurements because of computational, communication, and power limitations....
Yoonheui Kim, Victor R. Lesser, Deepak Ganesan, Ra...
PAMI
1998
103views more  PAMI 1998»
15 years 5 months ago
Synchronous Random Fields and Image Restoration
—We propose a general synchronous model of lattice random fields which could be used similarly to Gibbs distributions in a Bayesian framework for image analysis, leading to algor...
Laurent Younes
IPSN
2007
Springer
15 years 12 months ago
A compact, high-speed, wearable sensor network for biomotion capture and interactive media
In this paper, we present a wireless sensor platform designed for processing multipoint human motion with low latency and high resolution. One application considered here is inter...
Ryan Aylward, Joseph A. Paradiso
PAMI
2012
13 years 8 months ago
Quantifying and Transferring Contextual Information in Object Detection
— Context is critical for reducing the uncertainty in object detection. However, context modelling is challenging because there are often many different types of contextual infor...
Wei-Shi Zheng, Shaogang Gong, Tao Xiang
PPOPP
2009
ACM
16 years 6 months ago
Effective performance measurement and analysis of multithreaded applications
Understanding why the performance of a multithreaded program does not improve linearly with the number of cores in a sharedmemory node populated with one or more multicore process...
Nathan R. Tallent, John M. Mellor-Crummey