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NN
2000
Springer
177views Neural Networks» more  NN 2000»
13 years 7 months ago
Independent component analysis: algorithms and applications
A fundamental problem in neural network research, as well as in many other disciplines, is finding a suitable representation of multivariate data, i.e. random vectors. For reasons...
Aapo Hyvärinen, Erkki Oja
DAC
1998
ACM
14 years 8 months ago
Maximum Power Estimation Using the Limiting Distributions of Extreme Order Statistics
In this paper we present a statistical method for estimating the maximum power consumption in VLSI circuits. The method is based on the theory of extreme order statistics applied ...
Qinru Qiu, Qing Wu, Massoud Pedram
PAMI
2007
123views more  PAMI 2007»
13 years 7 months ago
Unsupervised Statistical Segmentation of Nonstationary Images Using Triplet Markov Fields
—Recent developments in statistical theory and associated computational techniques have opened new avenues for image modeling as well as for image segmentation techniques. Thus, ...
Dalila Benboudjema, Wojciech Pieczynski
ECSQARU
2005
Springer
14 years 1 months ago
Consonant Random Sets: Structure and Properties
In this paper, we investigate consonant random sets from the point of view of lattice theory. We introduce a new definition of consonancy and study its relationship with possibili...
Enrique Miranda
ICSM
2009
IEEE
14 years 2 months ago
A statistical examination of the evolution and properties of libre software
How and why does software evolve? This question has been under study since almost 40 years ago, and it is still a subject of controversy. In the seventies, Meir M. Lehman formulat...
Israel Herraiz