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ICASSP
2011
IEEE
14 years 1 months ago
Robust speech recognition using multiple prior models for speech reconstruction
Prior models of speech have been used in robust automatic speech recognition to enhance noisy speech. Typically, a single prior model is trained by pooling the entire training dat...
Arun Narayanan, Xiaojia Zhao, DeLiang Wang, Eric F...
RTSS
2009
IEEE
15 years 4 months ago
Integrating Proactive and Reactive Approaches for Robust Real-Time Data Services
— Real-time data services are needed in data-intensive real-time applications such as e-commerce or traffic control. However, it is challenging to support real-time data service...
Yan Zhou, Kyoung-Don Kang
ICCCN
2007
IEEE
15 years 4 months ago
Performance of a Robust Filter-based Approach for Contour Detection in Wireless Sensor Networks
—A robust filter-based approach is proposed for wireless sensor networks for detecting contours of a signal distribution over a 2-dimensional region. The motivation for contour d...
Hadi Alasti, William A. Armstrong, Asis Nasipuri
DSMML
2004
Springer
15 years 3 months ago
Can Gaussian Process Regression Be Made Robust Against Model Mismatch?
Learning curves for Gaussian process (GP) regression can be strongly affected by a mismatch between the ‘student’ model and the ‘teacher’ (true data generation process), e...
Peter Sollich
NIPS
2008
14 years 11 months ago
Estimating Robust Query Models with Convex Optimization
Query expansion is a long-studied approach for improving retrieval effectiveness by enhancing the user's original query with additional related words. Current algorithms for ...
Kevyn Collins-Thompson