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TIP
2002
179views more  TIP 2002»
13 years 9 months ago
Unsupervised image classification, segmentation, and enhancement using ICA mixture models
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
Te-Won Lee, Michael S. Lewicki
DCC
2011
IEEE
13 years 4 months ago
Accurate estimates of the data complexity and success probability for various cryptanalyses
Abstract Many attacks on encryption schemes rely on statistical considerations using plaintext/ciphertext pairs to find some information on the key. We provide here simple formula...
Céline Blondeau, Benoît Gérard...
ICASSP
2009
IEEE
14 years 4 months ago
Interpolating hidden Markov model and its application to automatic instrument recognition
This paper proposes an interpolating extension to hidden Markov models (HMMs), which allows more accurate modeling of natural sounds sources. The model is able to produce observat...
Tuomas Virtanen, Toni Heittola
ICONFERENCE
2012
12 years 5 months ago
Not just a wink and smile: an analysis of user-defined success in online dating
This study examines the publically available stories of selfidentified successful couples that met using the online dating services Match.com, eHarmony, or OkCupid. We enumerate f...
Christopher M. Mascaro, Rachel M. Magee, Sean P. G...
BMCBI
2005
93views more  BMCBI 2005»
13 years 9 months ago
Computing expectation values for RNA motifs using discrete convolutions
Background: Computational biologists use Expectation values (E-values) to estimate the number of solutions that can be expected by chance during a database scan. Here we focus on ...
André Lambert, Matthieu Legendre, Jean-Fred...