Results 251 to 260 of about 1,015,464 (310)

Clinically Silent Local Recurrence of Breast Cancer Detected in a Mastectomy Scar During DIEP Flap Reconstruction: A Case Report. [PDF]

Clin Case Rep
Tesina D, Herma T, Bayer J, Matej R, Sukop A, Ticha P.   +5 more
europepmc   +1 more source

Automatic detection of multi-site oral squamous cell carcinoma based on privacy-preserving federated learning. [PDF]

BMC Oral Health
Wu Y, Chang H.
europepmc   +1 more source

HDR Endorectal/Endoluminal Brachytherapy Boost in Rectal Organ Preservation: A Systematic Review and Meta-Analysis. [PDF]

Cancers (Basel)
Cao Y, Li C, Zhang B, Chen J.
europepmc   +1 more source

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On The Local Sensitivity Analysis for Phase Expansion

2021 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks - Supplemental Volume (DSN-S), 2021
This paper presents the local sensitivity for phase expansion. The purpose of phase expansion is to determine the phase-type (PH) parameters to approximate the original distribution with the fitted PH distribution. Since PH parameters are estimated from the original distribution, whose parameters may contain estimation errors, it is important to ...
openaire   +1 more source

Assessing Grasp Quality using Local Sensitivity Analysis

2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021
We propose a new approach to investigate and quantify dynamic grasp performance. Oftentimes, existing approaches to grasp analysis assess a grasp's quality in a static situation. We build upon such considerations to also account for the dynamic nature of most grasp operations.
Michael Zechmair, Yannick Morel
openaire   +1 more source

Analysis of local sensitivity to nonignorability with missing outcomes and predictors

Biometrics, 2021
AbstractThe ISNI (index of sensitivity to local nonignorability) method quantifies local sensitivity of parametric inferences to nonignorable missingness in an outcome variable. Here we extend ISNI to the situations where both outcomes and predictors can be missing and where the missingness mechanism can be either parametric or semi‐parametric.
Heng Chen, Daniel F. Heitjan
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Locality sensitive discriminant analysis for speaker verification

2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2016
In this paper, we apply Locality Sensitive Discriminant Analysis (LSDA) to speaker verification system for intersession variability compensation. As opposed to LDA which fails to discover the local geometrical structure of the data manifold, LSDA finds a projection which maximizes the margin between i-vectors from different speakers at each local area.
Danwei Cai, Weicheng Cai, Zhidong Ni, Ming Li 0026   +3 more
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Local Sensitivity Analysis

1996
Abstract We review several methods for assessing the effect of small changes to the prior distribution. Our emphasis is on a variety of derivative-like quantities. Some of these have deficiencies that make them unsuitable as diagnostics. We explore the reasons for this and we look at some attempts to avoid these problems.
P Gustafson*, C Srinivasan**, L Wasserman*   +2 more
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TENSOR LOCALITY SENSITIVE DISCRIMINANT ANALYSIS AND ITS COMPLEXITY

International Journal of Wavelets, Multiresolution and Information Processing, 2009
Feature extraction is one of the most challenging problems in pattern recognition fields and has attracted great attention recently. In this paper, we propose a novel feature extraction algorithm named tensor locality sensitive discriminant analysis which accepts tensors as inputs. The algorithm preserves the key structure of data by using the labeled
Yantao Wei, Hong Li 0009, Luoqing Li
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