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» Kernel methods and the exponential family
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CSDA
2007
94views more  CSDA 2007»
13 years 7 months ago
Some extensions of score matching
Many probabilistic models are only defined up to a normalization constant. This makes maximum likelihood estimation of the model parameters very difficult. Typically, one then h...
Aapo Hyvärinen
DSP
2006
13 years 7 months ago
On the application of cross correlation function to subsample discrete time delay estimation
Cross correlation function (CCF) of signals is an important tool of multi-sensors signal processing. Parabola functions are commonly used as parametric models of the CCF in time d...
Lei Zhang 0006, Xiaolin Wu
TIT
2008
86views more  TIT 2008»
13 years 7 months ago
Optimal Prefix Codes for Infinite Alphabets With Nonlinear Costs
Let P = {p(i)} be a measure of strictly positive probabilities on the set of nonnegative integers. Although the countable number of inputs prevents usage of the Huffman algorithm, ...
Michael B. Baer
EUC
2005
Springer
14 years 28 days ago
Collision Attack on XTR and a Countermeasure with a Fixed Pattern
Public-key cryptosystem (PKC) is one of inevitable key technologies in order to accomplish fruitful security applications in ubiquitous computing systems. The ubiquitous computer o...
Dong-Guk Han, Tsuyoshi Takagi, Tae-Hyun Kim, Howon...
AUSAI
2008
Springer
13 years 9 months ago
Propositionalisation of Profile Hidden Markov Models for Biological Sequence Analysis
Hidden Markov Models are a widely used generative model for analysing sequence data. A variant, Profile Hidden Markov Models are a special case used in Bioinformatics to represent,...
Stefan Mutter, Bernhard Pfahringer, Geoffrey Holme...