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» Generalized Filtering Decomposition
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CVPR
2008
IEEE
16 years 2 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, ...
123
Voted
IEEEIAS
2007
IEEE
15 years 6 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
88
Voted
TALG
2010
110views more  TALG 2010»
14 years 10 months 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 6 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...
97
Voted
FPL
2005
Springer
149views Hardware» more  FPL 2005»
15 years 6 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...