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» Learning from Highly Structured Data by Decomposition
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DGO
2003
111views Education» more  DGO 2003»
14 years 11 months ago
Digital Citizenship: Parameters of the Digital Divide
As part of a National Science Foundation-funded study, we analyze data from a 2002 Midwest urban random sample survey (n = 167 adults) of differential access to and uses of comput...
Stuart W. Shulman, Mack C. Shelley, Lisa Thrane
IVC
2008
83views more  IVC 2008»
14 years 9 months ago
A minimum description length objective function for groupwise non-rigid image registration
Groupwise non-rigid registration aims to find a dense correspondence across a set of images, so that analogous structures in the images are aligned. For purely automatic inter-sub...
Stephen Marsland, Carole J. Twining, Christopher J...
ENTCS
2007
113views more  ENTCS 2007»
14 years 9 months ago
The Interactive Curry Observation Debugger iCODE
Debugging by observing the evaluation of expressions and functions is a useful approach for finding bugs in lazy functional and functional logic programs. However, adding and rem...
Parissa H. Sadeghi, Frank Huch
TASLP
2008
158views more  TASLP 2008»
14 years 9 months ago
Score-Independent Audio Features for Description of Music Expression
Abstract--During a music performance, the musician adds expressiveness to the musical message by changing timing, dynamics, and timbre of the musical events to communicate an expre...
Luca Mion, Giovanni De Poli
PAMI
2010
192views more  PAMI 2010»
14 years 8 months ago
Multiway Spectral Clustering with Out-of-Sample Extensions through Weighted Kernel PCA
—A new formulation for multiway spectral clustering is proposed. This method corresponds to a weighted kernel principal component analysis (PCA) approach based on primal-dual lea...
Carlos Alzate, Johan A. K. Suykens