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» Measuring Distributional Similarity in Context
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IAT
2009
IEEE
14 years 3 months 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»
13 years 8 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
14 years 2 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
11 years 11 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
14 years 9 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