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» Learning the Relative Importance of Features in Image Data
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SIGKDD
2010
151views more  SIGKDD 2010»
14 years 6 months ago
Limitations of matrix completion via trace norm minimization
In recent years, compressive sensing attracts intensive attentions in the field of statistics, automatic control, data mining and machine learning. It assumes the sparsity of the ...
Xiaoxiao Shi, Philip S. Yu
CHI
2011
ACM
14 years 3 months ago
Characterizing the usability of interactive applications through query log analysis
People routinely rely on Internet search engines to support their use of interactive systems: they issue queries to learn how to accomplish tasks, troubleshoot problems, and other...
Adam Fourney, Richard Mann, Michael Terry
APVIS
2009
15 years 29 days ago
Visibility-driven transfer functions
Direct volume rendering is an important tool for visualizing complex data sets. However, in the process of generating 2D images from 3D data, information is lost in the form of at...
Carlos D. Correa, Kwan-Liu Ma
RECOMB
2011
Springer
14 years 2 months ago
Rich Parameterization Improves RNA Structure Prediction
Motivation. Current approaches to RNA structure prediction range from physics-based methods, which rely on thousands of experimentally-measured thermodynamic parameters, to machin...
Shay Zakov, Yoav Goldberg, Michael Elhadad, Michal...
BMCBI
2005
101views more  BMCBI 2005»
14 years 11 months ago
MASQOT: a method for cDNA microarray spot quality control
Background: cDNA microarray technology has emerged as a major player in the parallel detection of biomolecules, but still suffers from fundamental technical problems. Identifying ...
Max Bylesjö, Daniel Eriksson, Andreas Sjö...