Browsing MIT Open Access Articles by Title
Now showing items 8823-8842 of 55765
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A Convex Quasistatic Time-stepping Scheme for Rigid Multibody Systems with Contact and Friction
(Institute of Electrical and Electronics Engineers (IEEE), 2021) -
Convex Recovery From Interferometric Measurements
(Institute of Electrical and Electronics Engineers (IEEE), 2017-04)This paper discusses some questions that arise when a linear inverse problem involving Ax = b is reformulated in the interferometric framework, where quadratic combinations of b are considered as data in place of b. First, ... -
A convex relaxation for approximate global optimization in simultaneous localization and mapping
(Institute of Electrical and Electronics Engineers (IEEE), 2015-07)Modern approaches to simultaneous localization and mapping (SLAM) formulate the inference problem as a high-dimensional but sparse nonconvex M-estimation, and then apply general first- or second-order smooth optimization ... -
Convex resource theory of non-Gaussianity
(American Physical Society, 2018-06)Continuous-variable systems realized in quantum optics play a major role in quantum information processing, and it is also one of the promising candidates for a scalable quantum computer. We introduce a resource theory for ... -
Convex Risk Bounded Continuous-Time Trajectory Planning in Uncertain Nonconvex Environments
(Robotics: Science and Systems Foundation, 2021) -
Convex Total Least Squares
(Association for Computing Machinery (ACM), 2014-06)We study the total least squares (TLS) problem that generalizes least squares regression by allowing measurement errors in both dependent and independent variables. TLS is widely used in applied fields including computer ... -
A Convex-Combinatorial Model for Planar Caging
(Institute of Electrical and Electronics Engineers (IEEE), 2019)Caging is a promising tool which allows a robot to manipulate an object without directly reasoning about the contact dynamics involved. Furthermore, caging also provides useful guarantees in terms of robustness to uncertainty, ... -
A Convex-Combinatorial Model for Planar Caging
(Institute of Electrical and Electronics Engineers (IEEE), 2019)Caging is a promising tool which allows a robot to manipulate an object without directly reasoning about the contact dynamics involved. Furthermore, caging also provides useful guarantees in terms of robustness to uncertainty, ... -
Convexity of the moment map image for torus actions on b m -symplectic manifolds
(The Royal Society, 2018)© 2018 The Author(s) Published by the Royal Society. All rights reserved. We prove a convexity theorem for the image of the moment map of a Hamiltonian torus action on a bm-symplectic manifold. This article is part of the ... -
Convexity of the moment map image for torus actions on b m -symplectic manifolds
(The Royal Society, 2018)© 2018 The Author(s) Published by the Royal Society. All rights reserved. We prove a convexity theorem for the image of the moment map of a Hamiltonian torus action on a bm-symplectic manifold. This article is part of the ... -
Convolution neural network model with improved pooling strategy and feature selection for weld defect recognition
(Springer Berlin Heidelberg, 2020-11-16)Abstract Weld defect recognition plays an important role in the manufacturing process of large-scale equipment. Traditional methods generally include several serial steps, such as image preprocessing, region ... -
Convolution of chemoattractant secretion rate, source density, and receptor desensitization direct diverse migration patterns in leukocytes
(Royal Society of Chemistry, 2013)Chemoattractants regulate diverse immunological, developmental, and pathological processes, but how cell migration patterns are shaped by attractant production in tissues remains incompletely understood. Using computational ... -
Convolutional Embedding of Attributed Molecular Graphs for Physical Property Prediction
(American Chemical Society (ACS), 2017-07)The task of learning an expressive molecular representation is central to developing quantitative structure–activity and property relationships. Traditional approaches rely on group additivity rules, empirical measurements ... -
Convolutional Networks Can Learn to Generate Affinity Graphs for Image Segmentation
(MIT Press, 2010-01)Many image segmentation algorithms first generate an affinity graph and then partition it. We present a machine learning approach to computing an affinity graph using a convolutional network (CN) trained using ground truth ... -
Convolutional neural network architectures for predicting DNA–protein binding
(Oxford University Press, 2016-06)Motivation: Convolutional neural networks (CNN) have outperformed conventional methods in modeling the sequence specificity of DNA–protein binding. Yet inappropriate CNN architectures can yield poorer performance than ... -
Convolutional neural network for multiple particle identification in the MicroBooNE liquid argon time projection chamber
(American Physical Society (APS), 2021)We present the multiple particle identification (MPID) network, a convolutional neural network (CNN) for multiple object classification, developed by MicroBooNE. MPID provides the probabilities of $e^-$, $\gamma$, $\mu^-$, ... -
Convolutional neural networks applied to neutrino events in a liquid argon time projection chamber
(IOP Publishing, 2017-03)We present several studies of convolutional neural networks applied to data coming from the MicroBooNE detector, a liquid argon time projection chamber (LArTPC). The algorithms studied include the classification of single ... -
Convolutional neural networks for shower energy prediction in liquid argon time projection chambers
(IOP Publishing, 2022-02-01)<jats:title>Abstract</jats:title> <jats:p>When electrons with energies of O(100) MeV pass through a liquid argon time projection chamber (LArTPC), they deposit energy in the form of electromagnetic ... -
Convolutional Normalizing Flows for Deep Gaussian Processes
(Institute of Electrical and Electronics Engineers (IEEE), 2021)