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» Adaptive Discriminative Generative Model and Its Application...
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ICASSP
2010
IEEE
15 years 3 months ago
Investigations on ensemble based unsupervised adaptation methods
We have previously proposed unsupervised cross-validation (CV) adaptation that introduces CV into an iterative unsupervised batch mode adaptation framework to suppress the influe...
Yu Kubota, Takahiro Shinozaki, Sadaoki Furui
126
Voted
IPPS
2006
IEEE
15 years 9 months ago
Dynamic performance prediction of an adaptive mesh application
While it is possible to accurately predict the execution time of a given iteration of an adaptive application, it is not generally possible to predict the data-dependent adaptive ...
Mark M. Mathis, Darren J. Kerbyson
130
Voted
ISPASS
2010
IEEE
15 years 9 months ago
A study of hardware assisted IP over InfiniBand and its impact on enterprise data center performance
— High-performance sockets implementations such as the Sockets Direct Protocol (SDP) have traditionally showed major performance advantages compared to the TCP/IP stack over Infi...
Ryan E. Grant, Pavan Balaji, Ahmad Afsahi
ICASSP
2011
IEEE
14 years 7 months ago
Training of error-corrective model for ASR without using audio data
This paper introduces a method to train an error-corrective model for Automatic Speech Recognition (ASR) without using audio data. In existing techniques, it is assumed that sufï¬...
Gakuto Kurata, Nobuyasu Itoh, Masafumi Nishimura
130
Voted
ECAI
2010
Springer
15 years 4 months ago
A Fault-model-based Debugging Aid for Data Warehouse Applications
The paper describes a model-based approach to developing a general tool for localizing faults in applications of data warehouse technology. A model of the application is configured...
Peter Struss, Vikas Shivashankar, Mohamed Zahoor