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» Generalized Filtering Decomposition
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121
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CVPR
2008
IEEE
16 years 4 months ago
Non-negative graph embedding
We introduce a general formulation, called non-negative graph embedding, for non-negative data decomposition by integrating the characteristics of both intrinsic and penalty graph...
Jianchao Yang, Shuicheng Yan, Yun Fu, Xuelong Li, ...
IEEEIAS
2007
IEEE
15 years 8 months ago
An LSB Data Hiding Technique Using Prime Numbers
In this paper, a novel data hiding technique is proposed, as an improvement over the Fibonacci LSB data-hiding technique proposed by Battisti et al. [1]. First we mathematically m...
Sandipan Dey, Ajith Abraham, Sugata Sanyal
TALG
2010
110views more  TALG 2010»
15 years 26 days ago
Approximating fractional hypertree width
Fractional hypertree width is a hypergraph measure similar to tree width and hypertree width. Its algorithmic importance comes from the fact that, as shown in previous work [14], ...
Dániel Marx
ICASSP
2008
IEEE
15 years 9 months ago
Unsupervised learning of auditory filter banks using non-negative matrix factorisation
Non-negative matrix factorisation (NMF) is an unsupervised learning technique that decomposes a non-negative data matrix into a product of two lower rank non-negative matrices. Th...
Alexander Bertrand, Kris Demuynck, Veronique Stout...
114
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FPL
2005
Springer
149views Hardware» more  FPL 2005»
15 years 8 months ago
Heterogeneity Exploration for Multiple 2D Filter Designs
Many image processing applications require fast convolution of an image with a set of large 2D filters. Field - Programmable Gate Arrays (FPGAs) are often used to achieve this go...
Christos-Savvas Bouganis, Peter Y. K. Cheung, Geor...