Results 81 to 90 of about 1,336,530 (337)

Visual Question Answering with Memory-Augmented Networks

open access: yes, 2018
In this paper, we exploit a memory-augmented neural network to predict accurate answers to visual questions, even when those answers occur rarely in the training set.
Dick, Anthony   +6 more
core   +1 more source

Externalism and the Memory Argument

open access: yesDialectica, 2005
Paul Boghossian's 'Memory Argument' allegedly shows, using the familiar slow-switching scenario, that externalism and authoritative self-knowledge are incompatible. The aim of this paper is to undermine the argument by examining two distinct externalist responses. I demonstrate that the Memory Argument equivocates on the notion of forgetting.
openaire   +2 more sources

The Maintenance of Memory Plasma Cells

open access: yesFrontiers in Immunology, 2019
It is now well accepted that plasma cells can become long-lived (memory) plasma cells and secrete antibodies for months, years or a lifetime. However, the mechanisms involved in this process of humoral memory, which is crucial for both protective ...
Laleh Khodadadi   +6 more
doaj   +1 more source

Fashion-Oriented Image Captioning with External Knowledge Retrieval and Fully Attentive Gates

open access: yesSensors, 2023
Research related to fashion and e-commerce domains is gaining attention in computer vision and multimedia communities. Following this trend, this article tackles the task of generating fine-grained and accurate natural language descriptions of fashion ...
Nicholas Moratelli   +5 more
doaj   +1 more source

Memory Capacity of Recurrent Neural Networks with Matrix Representation [PDF]

open access: yesarXiv, 2021
It is well known that canonical recurrent neural networks (RNNs) face limitations in learning long-term dependencies which have been addressed by memory structures in long short-term memory (LSTM) networks. Neural Turing machines (NTMs) are novel RNNs that implement the notion of programmable computers with neural network controllers that can learn ...
arxiv  

On dynamic breadth-first search in external-memory [PDF]

open access: yes, 2010
We provide the first non-trivial result on dynamic breadth-first search (BFS) in external-memory: For general sparse undirected graphs of initially $n$ nodes and O(n) edges and monotone update sequences of either $\Theta(n)$ edge insertions or $\Theta(n)$
Meyer, Ulrich
core   +1 more source

Functions of External Cues in Prospective Memory [PDF]

open access: yesMemory, 1995
A simulation of an air traffic control task was the setting for an investigation of the functions of external cues in prospective memory. External cues can support the triggering of an action or memory for the content of the action. We focused on memory for the content, and manipulated the temporal characteristics of the external cue to disentangle two
O. U. Vortac   +2 more
openaire   +2 more sources

UR‐cycleGAN: Denoising full‐body low‐dose PET images using cycle‐consistent Generative Adversarial Networks

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose This study aims to develop a CycleGAN based denoising model to enhance the quality of low‐dose PET (LDPET) images, making them as close as possible to standard‐dose PET (SDPET) images. Methods Using a Philips Vereos PET/CT system, whole‐body PET images of fluorine‐18 fluorodeoxyglucose (18F‐FDG) were acquired from 37 patients to ...
Yang Liu, ZhiWu Sun, HaoJia Liu
wiley   +1 more source

Modelling memory decay after injuries using household survey data from Khartoum State, Sudan

open access: yesBMC Medical Research Methodology, 2018
Background Injuries represent an important cause of morbidity and mortality worldwide. In retrospective epidemiological studies, estimated rates of reported injuries often decline considerably when information is included from periods more than a few ...
Ivar Heuch, Safa Abdalla, Sally El Tayeb
doaj   +1 more source

Threshold Values of Sleep Spindles Features in Healthy Adults Using Scalp‐EEG and Associations With Sleep Parameters

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Sleep spindles are an electrophysiological fingerprint of the sleeping human brain. They can be described in terms of duration, frequency, amplitude, and density, and vary widely according to age and sex. Spindles play a role in sleep and wake functions and are altered in several neurological and psychiatric disorders.
Julien Coelho   +8 more
wiley   +1 more source

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