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» Robust Embedded Data from Wavelet Coefficients
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ACL
2010
13 years 5 months ago
A Bayesian Method for Robust Estimation of Distributional Similarities
Existing word similarity measures are not robust to data sparseness since they rely only on the point estimation of words' context profiles obtained from a limited amount of ...
Jun'ichi Kazama, Stijn De Saeger, Kow Kuroda, Masa...
CODES
2006
IEEE
14 years 1 months ago
A formal approach to robustness maximization of complex heterogeneous embedded systems
Embedded system optimization typically considers objectives such as cost, timing, buffer sizes and power consumption. Robustness criteria, i.e. sensitivity of the system to variat...
Arne Hamann, Razvan Racu, Rolf Ernst
COMPSAC
2004
IEEE
13 years 11 months ago
Robustness Study of an Embedded Operating System for Industrial Applications
Critical industrial applications or fault tolerant applications need for operating systems (OS) which guarantee a correct and safe behaviour in spite of the appearance of errors. ...
Juan Pardo, José Carlos Campelo, Juan Jos&e...
MICCAI
2005
Springer
14 years 1 months ago
Automatic 4-D Registration in Dynamic MR Renography Based on Over-Complete Dyadic Wavelet and Fourier Transforms
Dynamic contrast-enhanced 4-D MR renography has the potential for broad clinical applications, but suffers from respiratory motion that limits analysis and interpretation. Since ea...
Ting Song, Vivian S. Lee, Henry Rusinek, Manmeen K...
TASLP
2010
157views more  TASLP 2010»
13 years 2 months ago
HMM-Based Reconstruction of Unreliable Spectrographic Data for Noise Robust Speech Recognition
This paper presents a framework for efficient HMM-based estimation of unreliable spectrographic speech data. It discusses the role of Hidden Markov Models (HMMs) during minimum mea...
Bengt J. Borgstrom, Abeer Alwan