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CVPR
2012
IEEE
13 years 3 months ago
Robust Boltzmann Machines for recognition and denoising
While Boltzmann Machines have been successful at unsupervised learning and density modeling of images and speech data, they can be very sensitive to noise in the data. In this pap...
Yichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hi...
DMSN
2009
ACM
15 years 7 months ago
Validated cost models for sensor network queries
Generating a good execution plan for a declarative query has long been a central problem in data management research. With the rise in interest in wireless sensor networks (WSNs) ...
Christian Y. A. Brenninkmeijer, Ixent Galpin, Alva...
99
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KDD
2010
ACM
188views Data Mining» more  KDD 2010»
14 years 10 months ago
Trust network inference for online rating data using generative models
In an online rating system, raters assign ratings to objects contributed by other users. In addition, raters can develop trust and distrust on object contributors depending on a f...
Freddy Chong Tat Chua, Ee-Peng Lim
AVSS
2007
IEEE
15 years 7 months ago
Model-based human posture estimation for gesture analysis in an opportunistic fusion smart camera network
In multi-camera networks rich visual data is provided both spatially and temporally. In this paper a method of human posture estimation is described incorporating the concept of a...
Chen Wu, Hamid K. Aghajan
CDC
2008
IEEE
163views Control Systems» more  CDC 2008»
15 years 7 months ago
A cooperative deployment strategy for optimal sampling in spatiotemporal estimation
— This paper considers a network composed of robotic agents and static nodes performing spatial estimation of a dynamic physical processes. The physical process is modeled as a s...
Rishi Graham, Jorge Cortés