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ICASSP
2011
IEEE
14 years 11 months ago
An investigation of subspace modeling for phonetic and speaker variability in automatic speech recognition
This paper investigates the impact of subspace based techniques for acoustic modeling in automatic speech recognition (ASR). There are many well known approaches to subspace based...
Richard C. Rose, Shou-Chun Yin, Yun Tang
ICML
2000
IEEE
16 years 8 months ago
Maximum Entropy Markov Models for Information Extraction and Segmentation
Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...
Andrew McCallum, Dayne Freitag, Fernando C. N. Per...
CDC
2008
IEEE
125views Control Systems» more  CDC 2008»
16 years 1 months ago
Estimation of non-stationary Markov Chain transition models
— Many decision systems rely on a precisely known Markov Chain model to guarantee optimal performance, and this paper considers the online estimation of unknown, nonstationary Ma...
Luca F. Bertuccelli, Jonathan P. How
KBSE
2008
IEEE
16 years 1 months ago
Unit Testing of Flash Memory Device Driver through a SAT-Based Model Checker
Flash memory has become virtually indispensable in most mobile devices. In order for mobile devices to successfully provide services to users, it is essential that flash memory b...
Moonzoo Kim, Yunho Kim, Hotae Kim
ICDM
2005
IEEE
137views Data Mining» more  ICDM 2005»
16 years 22 days ago
Leveraging Relational Autocorrelation with Latent Group Models
The presence of autocorrelation provides a strong motivation for using relational learning and inference techniques. Autocorrelation is a statistical dependence between the values...
Jennifer Neville, David Jensen