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Review

2019

Review

2019

Deep Learning is a recent and important addition to the computational toolbox available for image reconstruction in fluorescence… Expand

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Review

2018

Review

2018

This article presents an up-to-date tutorial review of nonlinear Bayesian estimation. State estimation for nonlinear systems has… Expand

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Highly Cited

2017

Highly Cited

2017

We present ORB-SLAM2, a complete simultaneous localization and mapping (SLAM) system for monocular, stereo and RGB-D cameras… Expand

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Highly Cited

2013

Highly Cited

2013

Photos taken under dim lighting conditions by a handheld camera are usually either too noisy or too blurry. In our project, we… Expand

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Highly Cited

2010

Highly Cited

2010

This paper deals with the single image scale-up problem using sparse-representation modeling. The goal is to recover an original… Expand

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Highly Cited

2006

Highly Cited

2006

A new recursive algorithm is proposed for jointly estimating the time-varying number of targets and their states from a sequence… Expand

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Highly Cited

2002

Highly Cited

2002

This paper is concerned with the mathematical structure of the immersed boundary (IB) method, which is intended for the computer… Expand

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Highly Cited

1993

Highly Cited

1993

Abstract : The classification maximum likelihood approach is sufficiently general to encompass many current clustering algorithms… Expand

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Highly Cited

1993

Highly Cited

1993

Imaging vector fields has applications in science, art, image processing and special effects. An effective new approach is to use… Expand

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Highly Cited

1967

Highly Cited

1967

The probability of error in decoding an optimal convolutional code transmitted over a memoryless channel is bounded from above… Expand

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