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» Domain Adaptation: A Small Sample Statistical Approach
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161
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ECCC
2010
89views more  ECCC 2010»
15 years 7 months ago
Estimating the unseen: A sublinear-sample canonical estimator of distributions
We introduce a new approach to characterizing the unobserved portion of a distribution, which provides sublinear-sample additive estimators for a class of properties that includes...
Gregory Valiant, Paul Valiant
174
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DSP
2007
15 years 7 months ago
Performance comparison between statistical-based and direct data domain STAPs
In the situation that a radar platform is moving very fast, the number of training data used in space-time adaptive processing (STAP) is a major concern. Less number of training d...
Santana Burintramart, Tapan K. Sarkar, Yu Zhang, M...
217
Voted
TCSV
2010
15 years 2 months ago
SURE-LET for Orthonormal Wavelet-Domain Video Denoising
We propose an efficient orthonormal wavelet-domain video denoising algorithm based on an appropriate integration of motion compensation into an adapted version of our recently devi...
Florian Luisier, Thierry Blu, Michael Unser
230
Voted
ACL
2012
13 years 9 months ago
Prediction of Learning Curves in Machine Translation
Parallel data in the domain of interest is the key resource when training a statistical machine translation (SMT) system for a specific purpose. Since ad-hoc manual translation c...
Prasanth Kolachina, Nicola Cancedda, Marc Dymetman...
CIARP
2009
Springer
15 years 5 months ago
Incorporating Linguistic Information to Statistical Word-Level Alignment
Abstract. Parallel texts are enriched by alignment algorithms, thus establishing a relationship between the structures of the implied languages. Depending on the alignment level, t...
Eduardo Cendejas, Grettel Barceló, Alexande...