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CORR
2012
Springer
232views Education» more  CORR 2012»
13 years 11 months ago
Smoothing Proximal Gradient Method for General Structured Sparse Learning
We study the problem of learning high dimensional regression models regularized by a structured-sparsity-inducing penalty that encodes prior structural information on either input...
Xi Chen, Qihang Lin, Seyoung Kim, Jaime G. Carbone...
183
Voted
ACML
2009
Springer
15 years 10 months ago
Community Detection on Weighted Networks: A Variational Bayesian Method
Abstract. Massive real-world data are network-structured, such as social network, relationship between proteins and power grid. Discovering the latent communities is a useful way f...
Qixia Jiang, Yan Zhang, Maosong Sun
ROBOCUP
2007
Springer
134views Robotics» more  ROBOCUP 2007»
15 years 9 months ago
A Scalable Hybrid Multi-robot SLAM Method for Highly Detailed Maps
Abstract. Recent successful SLAM methods employ hybrid map representations combining the strengths of topological maps and occupancy grids. Such representations often facilitate mu...
Max Pfingsthorn, Bayu Slamet, Arnoud Visser
147
Voted
VLSM
2005
Springer
15 years 9 months ago
A Surface Reconstruction Method for Highly Noisy Point Clouds
In this paper we propose a surface reconstruction method for highly noisy and non-uniform data based on minimal surface model and tensor voting method. To deal with ill-posedness, ...
DanFeng Lu, HongKai Zhao, Ming Jiang 0001, ShuLin ...
173
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CDC
2009
IEEE
243views Control Systems» more  CDC 2009»
15 years 8 months ago
A distributed newton method for network optimization
— Most existing work uses dual decomposition and subgradient methods to solve network optimization problems in a distributed manner, which suffer from slow convergence rate prope...
Ali Jadbabaie, Asuman E. Ozdaglar, Michael Zargham