Results 251 to 260 of about 8,025,626 (297)

Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani, Emmanuel Barbeau, Béatrice Lemesle, Emilie Milongo‐Rigal, Sophie Fernandez, Sandrine Charpentier, Jean‐François Albucher, Nicolas Raposo, Fabrice Bonneville, Patrice Péran, Jérémie Pariente   +10 more
wiley   +1 more source

Safety and Tolerability of Givinostat: Evidence From Real‐World and Clinical Practice

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The aim of our study was to establish the prevalence of adverse events in a real‐world setting in boys living with Duchenne muscular dystrophy (DMD) treated with givinostat as part of an Expanded Access Program (EAP) in Italy. Methods The cohort included 90 ambulant boys, with age when treatment started between 6 and 23 years (mean ...
Marika Pane, Anna Capasso, Chiara Arpaia, Adele D’Amico, Emilio Albamonte, Federica Trucco, Maria Sframeli, Riccardo Masson, Francesca Magri, Luca Bello, Romina Venditti, Claudia Dosi, Michela Catteruccia, Michele Tosi, Claudio Bruno, Sonia Messina, Giacomo Comi, Elena Pegoraro, Valeria A. Sansone, Eugenio Mercuri   +19 more
wiley   +1 more source

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Local Orthogonal Moments for Local Features

IEEE Transactions on Image Processing, 2023
By introducing parameters with local information, several types of orthogonal moments have recently been developed for the extraction of local features in an image. But with the existing orthogonal moments, local features cannot be well-controlled with these parameters.
Jianwei Yang, Zezhi Zeng, Timothy C. H. Kwong, Yuan Yan Tang, Yuepeng Wang 0002   +4 more
openaire   +3 more sources

Local Feature Normalization

2021
In deep learning, Batch Normalization (BN) is a widely used fundamental technique in Convolutional Neural Networks (CNNs) to improve the training speed and generalization capability of CNNs due to its effectiveness and simplicity. However, BN only focuses on global features and normalizes the whole feature map while ignoring the importance of the local
Ning Jiang 0002, Jialiang Tang, Wenxin Yu 0001, Jinjia Zhou   +3 more
openaire   +2 more sources

Coding Images with Local Features

International Journal of Computer Vision, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Timo Dickscheid, Falko Schindler, Wolfgang Förstner   +2 more
openaire   +1 more source

Robust facial feature localization by coupled features

Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580), 2002
We consider the problem of robust localization of faces and some of their facial features. The task arises, e.g., in the medical field of visual analysis of facial paresis. We detect faces and facial features by means of appropriate DCT coefficients that we obtain by neatly using the coding capabilities of a JPEG hardware compressor.
Matthias Zobel, Arnd Gebhard, Dietrich Paulus, Joachim Denzler, Heinrich Niemann   +4 more
openaire   +2 more sources

An Evaluation of Local Features for Face Detection and Localization

2008 Ninth International Workshop on Image Analysis for Multimedia Interactive Services, 2008
Local features have the ability to overcome the major drawback of traditional, holistic object detection approaches, because they are inherently invariant to geometric deformation and pose; in addition scale and rotation invariance can be easily achieved as well.
Mark Asbach, Peter Hosten, Michael Unger 0001   +2 more
openaire   +2 more sources

Localized feature selection for clustering

Pattern Recognition Letters, 2008
In clustering, global feature selection algorithms attempt to select a common feature subset that is relevant to all clusters. Consequently, they are not able to identify individual clusters that exist in different feature subspaces. In this paper, we propose a localized feature selection algorithm for clustering.
Yuanhong Li, Ming Dong 0001, Jing Hua 0001   +2 more
openaire   +2 more sources

Localized scleroderma: Imaging features

Pediatric Radiology, 1994
Localized scleroderma is distinct from the diffuse form of scleroderma and does not show Raynaud's phenomenon and visceral involvement. The imaging features in 23 patients ranging from 2 to 17 years of age (mean 11.1 years) were reviewed. Leg length discrepancy and muscle atrophy were the most common findings (five patients), with two patients also ...
P, Liu, Y, Uziel, S, Chuang, E, Silverman, B, Krafchik, R, Laxer   +5 more
openaire   +2 more sources

A Disaster Invariant Feature for localization

2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010
In this paper we present a Disaster Invariant Feature (DIF), which is used for localization of Unmanned Aerial Vehicles (UAV). There exist numerous researches that address the problem of localization of UAVs using aerial images. However, after a disaster such as a tornado or an earthquake many features in aerial images like monuments and unique ...
Behdad Soleimani, Mohammad Hassan Zokaei Ashtiani, Behrouz Haji Soleimani, Hadi Moradi   +3 more
openaire   +2 more sources