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» 2D Shape Recognition by Hidden Markov Models
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100
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USS
2010
14 years 9 months ago
Acoustic Side-Channel Attacks on Printers
We examine the problem of acoustic emanations of printers. We present a novel attack that recovers what a dotmatrix printer processing English text is printing based on a record o...
Michael Backes, Markus Dürmuth, Sebastian Ger...
PR
2007
109views more  PR 2007»
14 years 11 months ago
Unsupervised multiscale oil slick segmentation from SAR images using a vector HMC model
This study focuses on the segmentation and characterization of oil slicks on the sea surface from synthetic aperture radar (SAR) observations. In fact, an increase in viscosity du...
Stéphane Derrode, Grégoire Mercier
106
Voted
TASLP
2008
140views more  TASLP 2008»
14 years 11 months ago
Acoustic Chord Transcription and Key Extraction From Audio Using Key-Dependent HMMs Trained on Synthesized Audio
We describe an acoustic chord transcription system that uses symbolic data to train hidden Markov models and gives best-of-class frame-level recognition results. We avoid the extre...
Kyogu Lee, Malcolm Slaney
94
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KDD
2006
ACM
134views Data Mining» more  KDD 2006»
16 years 18 hour ago
Learning to rank networked entities
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
Alekh Agarwal, Soumen Chakrabarti, Sunny Aggarwal
ACL
2008
15 years 1 months ago
Unsupervised Learning of Acoustic Sub-word Units
Accurate unsupervised learning of phonemes of a language directly from speech is demonstrated via an algorithm for joint unsupervised learning of the topology and parameters of a ...
Balakrishnan Varadarajan, Sanjeev Khudanpur, Emman...