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TSP
2010
13 years 14 days 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...
CGO
2011
IEEE
12 years 9 months ago
Language and compiler support for auto-tuning variable-accuracy algorithms
—Approximating ideal program outputs is a common technique for solving computationally difficult problems, for adhering to processing or timing constraints, and for performance ...
Jason Ansel, Yee Lok Wong, Cy P. Chan, Marek Olsze...
HUC
2011
Springer
12 years 5 months ago
Mediated tabletop interaction in the biology lab: exploring the design space of the rabbit
Interactive surfaces like diffuse illumination tabletops (DIT) identify and track objects using multiple techniques like shape and color recognition, fiducial markers, electronic...
Juan David Hincapié-Ramos, Aurélien ...
SIGIR
2012
ACM
11 years 8 months ago
A subjunctive exploratory search interface to support media studies researchers
Media studies concerns the study of production, content, and/or reception of various types of media. Today’s continuous production and storage of media is changing the way media...
Marc Bron, Jasmijn van Gorp, Frank Nack, Maarten d...
CVPR
2012
IEEE
11 years 8 months ago
A tiered move-making algorithm for general pairwise MRFs
A large number of problems in computer vision can be modeled as energy minimization problems in a markov random field (MRF) framework. Many methods have been developed over the y...
Vibhav Vineet, Jonathan Warrell, Philip H. S. Torr