Sciweavers

CVPR
2012
IEEE
11 years 7 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
11 years 7 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
12 years 8 months 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»
13 years 4 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
13 years 11 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
14 years 4 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
14 years 6 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