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» Classification with Sums of Separable Functions
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ICASSP
2008
IEEE
14 years 4 months ago
Sparse reconstruction by separable approximation
Finding sparse approximate solutions to large underdetermined linear systems of equations is a common problem in signal/image processing and statistics. Basis pursuit, the least a...
Stephen J. Wright, Robert D. Nowak, Mário A...
CORR
2006
Springer
93views Education» more  CORR 2006»
13 years 9 months ago
Functional dissipation microarrays for classification
In this article, we describe a new method of extracting information from signals, called functional dissipation, that proves to be very effective for enhancing classification of h...
D. Napoletani, Daniele C. Struppa, T. Sauer, V. Mo...
ICDAR
2011
IEEE
12 years 9 months ago
A Method of Evaluating Table Segmentation Results Based on a Table Image Ground Truther
—We propose a novel method to evaluate table segmentation results based on a table image ground truther. In the ground-truthing process, we first extract connected components fr...
Yanhui Liang, Yizhou Wang, Eric Saund
VMV
2000
169views Visualization» more  VMV 2000»
13 years 11 months ago
Automatic Adjustment of Transfer Functions for 3D Volume Visualization
In most volume rendering scenarios implicit classification is performed manually by specification of a transfer function, that maps abstract data values to visual attributes. An a...
Christof Rezk-Salama, Peter Hastreiter, Jörg ...
ESANN
2004
13 years 11 months ago
Dimensionality reduction and classification using the distribution mapping exponent
: Probability distribution mapping function, which maps multivariate data distribution to the function of one variable, is introduced. Distributionmapping exponent (DME) is somethi...
Marcel Jirina