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» Robustness of the Learning with Errors Assumption
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NIPS
2001
15 years 1 months ago
Fast and Robust Classification using Asymmetric AdaBoost and a Detector Cascade
This paper develops a new approach for extremely fast detection in domains where the distribution of positive and negative examples is highly skewed (e.g. face detection or databa...
Paul A. Viola, Michael J. Jones
INTERSPEECH
2010
14 years 6 months ago
HMM adaptation using linear spline interpolation with integrated spline parameter training for robust speech recognition
We recently proposed a method for HMM adaptation to noisy environments called Linear Spline Interpolation (LSI). LSI uses linear spline regression to model the relationship betwee...
Michael L. Seltzer, Alex Acero
AND
2010
14 years 9 months ago
Reshaping automatic speech transcripts for robust high-level spoken document analysis
High-level spoken document analysis is required in many applications seeking access to the semantic content of audio data, such as information retrieval, machine translation or au...
Julien Fayolle, Fabienne Moreau, Christian Raymond...
GLOBECOM
2007
IEEE
15 years 6 months ago
V-BLAST Receiver for MIMO Relay Networks with Imperfect CSI
—Previous work demonstrated that the improvements in spectral efficiency and link reliability can be obtained in wireless relay networks employing terminals with MIMO capability...
Jiansong Chen, Xiaoli Yu, C. C. Jay Kuo
SIGMETRICS
2008
ACM
14 years 11 months ago
Ironmodel: robust performance models in the wild
Traditional performance models are too brittle to be relied on for continuous capacity planning and performance debugging in many computer systems. Simply put, a brittle model is ...
Eno Thereska, Gregory R. Ganger