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TSP
2010
13 years 3 months ago
Distributed sparse linear regression
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....
Gonzalo Mateos, Juan Andrés Bazerque, Georg...
GRAPHICSINTERFACE
2011
12 years 12 months ago
Ubiquitous cursor: a comparison of direct and indirect pointing feedback in multi-display environments
Multi-display environments (MDEs) connect several displays into a single digital workspace. One of the main problems to be solved in an MDE’s design is how to enable movement of...
Robert Xiao, Miguel A. Nacenta, Regan L. Mandryk, ...
JCDL
2011
ACM
221views Education» more  JCDL 2011»
12 years 11 months ago
Integrating implicit structure visualization with authoring promotes ideation
We need to harness the growing wealth of information in digital libraries to support intellectual work involving creative and exploratory processes. Prior research on hypertext au...
Andrew M. Webb, Andruid Kerne
SIAMJO
2011
12 years 11 months ago
Rank-Sparsity Incoherence for Matrix Decomposition
Suppose we are given a matrix that is formed by adding an unknown sparse matrix to an unknown low-rank matrix. Our goal is to decompose the given matrix into its sparse and low-ran...
Venkat Chandrasekaran, Sujay Sanghavi, Pablo A. Pa...
SPAA
2012
ACM
11 years 10 months ago
A scalable framework for heterogeneous GPU-based clusters
GPU-based heterogeneous clusters continue to draw attention from vendors and HPC users due to their high energy efficiency and much improved single-node computational performance...
Fengguang Song, Jack Dongarra
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