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Network lasso: Clustering and optimization in large graphs
Convex Optimization ADMM Network Lasso
2015/8/7
Convex optimization is an essential tool for modern data analysis, as it provides a framework to formulate and solve many problems in machine learning and data mining. However, general convex optimiza...
Generalized Louvain Method for Community Detection in Large Networks
complex networks community structure
2015/7/22
In this paper we present a novel strategy to discover the community structure of (possibly, large) networks. This approach is based on the well-know concept of network modularity optimization. To do s...
Large Scale Numerical Modeling in Geotechnical Earthquake Engineering
numerical simulation geotechnical earthquake parallel computing liquefaction seismic response soil dynamics
2015/6/30
Calibration, based on data from centrifuge and shake-table experiments continues to promote the development of more accurate computational models. Capabilities such as coupled solid-fluid formulations...
Data Management and Wireless Transport for Large Scale Sensor Networks
data management sensor networks wireless networks
2014/12/18
Today many large scale sensor networks have emerged, which span many different sensing applications. Each of these sensor networks often consists of millions of sensors collecting data and supports th...
Towards Large-Scale Validation of Protein Flexibility Using Rigidity Analysis
flexibility protein rigidity analysis validation
2014/12/18
Proteins are dynamic molecules involved in virtually every chemical process in our bodies. Understanding how they flex and bend provides fundamental insights to their functions. At the atomic level, p...
Scaling MCMC Inference and Belief Propagation to Large, Dense Graphical Models
machine learning graphical models
2014/12/18
With the physical constraints of semiconductor-based electronics becoming increasingly limiting in the past decade, single-core CPUs have given way to multi-core and distributed computing platforms. A...