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CORR
2010
Springer
124views Education» more  CORR 2010»
15 years 6 months ago
Online Learning of Noisy Data with Kernels
We study online learning when individual instances are corrupted by adversarially chosen random noise. We assume the noise distribution is unknown, and may change over time with n...
Nicolò Cesa-Bianchi, Shai Shalev-Shwartz, O...
IEE
2002
92views more  IEE 2002»
15 years 6 months ago
Comparison of Web size measures for predicting Web design and authoring effort
: Software practitioners recognise the importance of realistic estimates of effort for the successful management of software projects, the Web being no exception. Estimates are nec...
Emilia Mendes, Nile Mosley, Steve Counsell
ICASSP
2011
IEEE
14 years 10 months ago
Multi-microphone interference suppression using the principal subspace modification and its application to speech recognition
It has been shown that the principal subspace based multi-channel Wiener filter (MWF) provides better performance than the conventional MWF for the interference suppression in th...
Gibak Kim
ICIP
2000
IEEE
16 years 8 months ago
Curve Evolution, Boundary-Value Stochastic Processes, the Mumford-Shah Problem, and Missing Data Applications
We present an estimation-theoretic approach to curve evolution for the Mumford-Shah problem. By viewing an active contour as the set of discontinuities in the Mumford-Shah problem...
Andy Tsai, Anthony J. Yezzi, Alan S. Willsky
ICML
2009
IEEE
16 years 7 months ago
Predictive representations for policy gradient in POMDPs
We consider the problem of estimating the policy gradient in Partially Observable Markov Decision Processes (POMDPs) with a special class of policies that are based on Predictive ...
Abdeslam Boularias, Brahim Chaib-draa