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CVPR
2012
IEEE
6 years 12 months ago
From pixels to physics: Probabilistic color de-rendering
Consumer digital cameras use tone-mapping to produce compact, narrow-gamut images that are nonetheless visually pleasing. In doing so, they discard or distort substantial radiomet...
Ying Xiong, Kate Saenko, Trevor Darrell, Todd Zick...
JMLR
2012
6 years 12 months ago
Hierarchical Latent Dictionaries for Models of Brain Activation
In this work, we propose a hierarchical latent dictionary approach to estimate the timevarying mean and covariance of a process for which we have only limited noisy samples. We fu...
Alona Fyshe, Emily B. Fox, David B. Dunson, Tom M....
INFOCOM
2011
IEEE
8 years 25 days ago
Aggregation capacity of wireless sensor networks: Extended network case
—A critical function of wireless sensor networks (WSNs) is data gathering. While, one is often only interested in collecting a relevant function of the sensor measurements at a s...
Cheng Wang, Changjun Jiang, Yunhao Liu, Xiang-Yang...
TSP
2008
101views more  TSP 2008»
8 years 9 months ago
Optimal Node Density for Detection in Energy-Constrained Random Networks
The problem of optimal node density maximizing the Neyman-Pearson detection error exponent subject to a constraint on average (per node) energy consumption is analyzed. The spatial...
Animashree Anandkumar, Lang Tong, Ananthram Swami
ICASSP
2009
IEEE
9 years 4 months ago
Distributed adaptive estimation of correlated node-specific signals in a fully connected sensor network
We introduce a distributed adaptive estimation algorithm operating in an ideal fully connected sensor network. The algorithm estimates node-specific signals at each node based on...
Alexander Bertrand, Marc Moonen
DCC
2005
IEEE
9 years 9 months ago
Distributed Source Coding in Dense Sensor Networks
We study the problem of the reconstruction of a Gaussian field defined in [0, 1] using N sensors deployed at regular intervals. The goal is to quantify the total data rate require...
Akshay Kashyap, Cathy H. Xia, Luis Alfonso Lastras...
ICIP
2004
IEEE
9 years 11 months ago
Multisensor raster and vector data fusion based on uncertainty modeling
We propose a new methodology for fusing temporally changing multisensor raster and vector data by developing a spatially and temporally varying uncertainty model of acquired and t...
Sang-Chul Lee, Peter Bajcsy
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