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3601
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3602
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3603
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3604
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3605
A multiscale framework for Bayesian inference in elliptic problems
Published 2011Get full text
Thesis -
3606
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3607
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3608
Towards a Tool for Characterizing the Progression of Academic Research
Published 2011Get full text
Thesis -
3609
Applying Compactness Constraints to Differential Traveltime Tomography
Published 2012“…We develop a differential traveltime tomography algorithm which selects for compact solutions i.e. models with a minimum area of support, through application of model-space iteratively reweighted least squares. Our technique is an adaptation of minimum support regularization methods previously explored within the potential theory community. …”
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Technical Report -
3610
Redatumming Through a Salt Canopy – Another Salt Flank Imaging Strategy
Published 2012“…In this target-oriented strategy, the computationally fast redatumming process eliminates the need for the traditional complex process of velocity estimation, model building, and iterative depth migration to remove the effects of the salt canopy and surrounding overburden.…”
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Technical Report -
3611
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3612
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3613
Epistemic Implementation and The Arbitrary-Belief Auction
Published 2012“…We then introduce an iterative deletion procedure of dominated strategies and use it to precisely characterize the strategies consistent with the players being order-k rational. …”
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3614
Infinite urban landscapes : a journey through Cambridge, Massachusetts
Published 2012Get full text
Thesis -
3615
Development of a robot localization and environment mapping system
Published 2012Get full text
Thesis -
3616
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3617
Probabilistically Accurate Program Transformations
Published 2012Get full text
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Article -
3618
Design and manufacture study of Ocean Renewable Energy Storage (ORES) prototype
Published 2012Get full text
Thesis -
3619
A Lorentz-force actuated needle-free intraocular injection device
Published 2012Get full text
Thesis -
3620
3-D Geostatistical Seismic Inversion With Well Log Constraints
Published 2012“…We cast our inversion procedure in the form of a Bayesian maximum a posteriori (MAP) estimation in which the prior is iteratively modified so that the algorithm converges to the model that maximizes the likelihood function. …”
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Technical Report