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ICASSP
2011
IEEE
14 years 8 months ago
Dual constrained TV-based regularization
Algorithms based on the minimization of the Total Variation are prevalent in computer vision. They are used in a variety of applications such as image denoising, compressive sensi...
Camille Couprie, Hugues Talbot, Jean-Christophe Pe...
DATE
2009
IEEE
131views Hardware» more  DATE 2009»
15 years 11 months ago
Communication minimization for in-network processing in body sensor networks: A buffer assignment technique
—Body sensor networks are emerging as a promising platform for healthcare monitoring. These systems are composed of battery-operated embedded devices which process physiological ...
Hassan Ghasemzadeh, Nisha Jain, Marco Sgroi, Roozb...
TVCG
2011
136views more  TVCG 2011»
14 years 11 months ago
Interactive Mesh Cutting Using Constrained Random Walks
—This paper considers the problem of interactively finding the cutting contour to extract components from an existing mesh. First, we propose a constrained random walks algorith...
Juyong Zhang, Jianmin Zheng, Jianfei Cai
QSHINE
2005
IEEE
15 years 10 months ago
Solving The Multi-Constrained Path Selection Problem By Using Depth First Search
An extended depth-first-search (EDFS) algorithm is proposed to solve the multi-constrained path (MCP) problem in quality-of-service (QoS) routing, which is NP-Complete when the n...
Zhenjiang Li, J. J. Garcia-Luna-Aceves
TSP
2008
101views more  TSP 2008»
15 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