Results 31 to 40 of about 1,494,076 (289)
Robust embedded egomotion estimation [PDF]
2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems : (IROS 2011) ; San Francisco, California, USA, 25 - 30 September ...
Voigt, Rainer +5 more
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Acta Universitatis Lodziensis. Folia Oeconomica, 2018 In this paper, the binary classification problem of multi‑dimensional functional data is considered. To solve this problem a regression technique based on functional logistic regression model is used.
Mirosław Krzyśko, Łukasz Smaga
doaj +1 more source
On the Adversarial Robustness of Robust Estimators [PDF]
IEEE Transactions on Information Theory, 2020 Motivated by recent data analytics applications, we study the adversarial robustness of robust estimators. Instead of assuming that only a fraction of the data points are outliers as considered in the classic robust estimation setup, in this paper, we consider an adversarial setup in which an attacker can observe the whole dataset and can modify all ...
Lifeng Lai, Erhan Bayraktar
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The Annals of Statistics, 1977 Measures of location differentiable at every density in the Hellinger metric are constructed in this paper. Differentiability entitles these location functionals to the label "robust," even though their influence curves need not be bounded and continuous.
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Accurate Robust Symmetry Estimation [PDF]
, 1999 There are various applications, both in medical and non-medical image analysis, which require the automatic detection of the line (2D images) or plane (3D) of reflective symmetry of objects. There exist relatively simple methods of finding reflective symmetry when object images are complete (i.e., completely symmetric and perfectly segmented from image
Smith, S, Jenkinson, M
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Robust kernel density estimation [PDF]
2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 2008 We propose a method for nonparametric density estimation that exhibits robustness to contamination of the training sample. This method achieves robustness by combining a traditional kernel density estimator (KDE) with ideas from classical $M$-estimation.
Kim, JooSeuk, Scott, Clayton D.
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SUM: Sequential Scene Understanding and Manipulation
, 2017 In order to perform autonomous sequential manipulation tasks, perception in cluttered scenes remains a critical challenge for robots. In this paper, we propose a probabilistic approach for robust sequential scene estimation and manipulation - Sequential ...
Jenkins, Odest Chadwicke +3 more
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Cluster-Robust Variance Estimation for Dyadic Data [PDF]
, 2015 Dyadic data are common in the social sciences, although inference for such settings involves accounting for a complex clustering structure. Many analyses in the social sciences fail to account for the fact that multiple dyads share a member, and that ...
Aronow, Peter M. +2 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Patient activation—encompassing knowledge, confidence, and skills in managing individual's health—is a cornerstone of person‐centered care. However, its significance among childhood, adolescent, and young adult cancer survivors (CAYACS) remains unexplored. This article examines the application of the 13‐item Patient Activation Measure (
Charlotte Demoor‐Goldschmidt +12 more
wiley +1 more source
Frequency Tracking and Parameter Estimation for Robust Quantum State-Estimation
, 2011 In this paper we consider the problem of tracking the state of a quantum system via a continuous measurement. If the system Hamiltonian is known precisely, this merely requires integrating the appropriate stochastic master equation. However, even a small
A. Doherty +16 more
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