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171
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ICASSP
2010
IEEE
15 years 7 months ago
MMSE based noise PSD tracking with low complexity
Most speech enhancement algorithms heavily depend on the noise power spectral density (PSD). Because this quantity is unknown in practice, estimation from the noisy data is necess...
Richard C. Hendriks, Richard Heusdens, Jesper Jens...
190
Voted
ACL
1994
15 years 8 months ago
A Markov Language Learning Model for Finite Parameter Spaces
This paper shows how to formally characterize language learning in a finite parameter space as a Markov structure, hnportant new language learning results follow directly: explici...
Partha Niyogi, Robert C. Berwick
STACS
2009
Springer
16 years 1 months ago
Quantum Query Complexity of Multilinear Identity Testing
Motivated by the quantum algorithm for testing commutativity of black-box groups (Magniez and Nayak, 2007), we study the following problem: Given a black-box finite ring by an add...
Vikraman Arvind, Partha Mukhopadhyay
SPAA
2003
ACM
16 years 2 days ago
The complexity of verifying memory coherence
The general problem of verifying coherence for shared-memory multiprocessor executions is NP-Complete. Verifying memory consistency models is therefore NP-Hard, because memory con...
Jason F. Cantin, Mikko H. Lipasti, James E. Smith
208
Voted
SODA
2000
ACM
85views Algorithms» more  SODA 2000»
15 years 8 months ago
Improved bounds on the sample complexity of learning
We present a new general upper bound on the number of examples required to estimate all of the expectations of a set of random variables uniformly well. The quality of the estimat...
Yi Li, Philip M. Long, Aravind Srinivasan