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ICML
2006
IEEE
16 years 21 days ago
Agnostic active learning
We state and analyze the first active learning algorithm which works in the presence of arbitrary forms of noise. The algorithm, A2 (for Agnostic Active), relies only upon the ass...
Maria-Florina Balcan, Alina Beygelzimer, John Lang...
ICASSP
2008
IEEE
15 years 6 months ago
Decoding real-field codes by an iterative Expectation-Maximization (EM) algorithm
In this paper, a new approach for decoding real-field codes based on finding sparse solutions of underdetermined linear systems is proposed. This algorithm iteratively estimates...
Hadi Zayyani, Massoud Babaie-Zadeh, Christian Jutt...
ICMCS
2008
IEEE
123views Multimedia» more  ICMCS 2008»
15 years 6 months ago
Effective post-processing for single-channel frequency-domain speech enhancement
Conventional frequency-domain speech enhancement filters improve signal-to-noise ratio (SNR), but also produce speech distortions. This paper describes a novel post-processing al...
Weifeng Li
ICMCS
2007
IEEE
76views Multimedia» more  ICMCS 2007»
15 years 6 months ago
Whispering Speaker Identification
This paper describes a study of automatically identifying whispering speakers. People usually whisper in order to avoid being identified or overheard by lowering their voices. Th...
Qin Jin, Szu-Chen Stan Jou, Tanja Schultz
ISBI
2007
IEEE
15 years 6 months ago
Regularized Interpolation for Noisy Data
Interpolation is a vital tool in biomedical signal processing. Although there exists a substantial literature dedicated to noise-free conditions, much less is known in the presenc...
Sathish Ramani, Philippe Thévenaz, Michael ...