Results 81 to 90 of about 439,227 (216)

Long short-term memory recurrent neural networks for signature verification

open access: yes, 2003
>Magister Scientiae - MScHandwritten signature verification is defined as the classification process that strives to learn the manner in which an individual makes use of the muscular memory of their hands, fingers, and wrist to reproduce a signature.
Tiflin, C
core  

Representation of matrix patterns in long- and short-term visual memory

open access: yes, 1987
Two experiments examined two-alternative recognition for matrix patterns either immediately after a brief display (short-term visual memory) or following visual interence (long-term visual memory).
Avons, Stephen E, Phillips, William
core   +1 more source

Ensemble long short-term memory (EnLSTM) network

open access: yesCoRR, 2020
In this study, we propose an ensemble long short-term memory (EnLSTM) network, which can be trained on a small dataset and process sequential data. The EnLSTM is built by combining the ensemble neural network (ENN) and the cascaded long short-term memory (C-LSTM) network to leverage their complementary strengths.
Yuntian Chen, Dongxiao Zhang
openaire   +2 more sources

ILSTMA: Enhancing Accuracy and Speed of Long-Term and Short-Term Memory Architecture

open access: yesInformation
In recent years, the rapid development of large language models (LLMs) has led to a growing consensus in the industry regarding the integration of long-term and short-term memory.
Zongyu Ming, Zimu Wu, Genlang Chen
doaj   +1 more source

Serial order in short-term memory

open access: yes, 2001
How do we maintain a novel sequence of items in the correct order? For example, how do we remember the car number plate at the scene of a crime? Or how do we remember an unfamiliar telephone number during the few seconds between putting down the ...
Henson, R.N.A.
core  

Federated quantum long short-term memory (FedQLSTM)

open access: yesQuantum Machine Intelligence
AbstractQuantum federated learning (QFL) can facilitate collaborative learning across multiple clients using quantum machine learning (QML) models, while preserving data privacy. Although recent advances in QFL span different tasks like classification while leveraging several data types, no prior work has focused on developing a QFL framework that ...
Chehimi, Mahdi   +3 more
openaire   +3 more sources

Boosting Long-term Memory via Wakeful Rest: Intentional Rehearsal is not Necessary, Automatic Consolidation is Sufficient.

open access: yes, 2014
People perform better on tests of delayed free recall if learning is followed immediately by a short wakeful rest than by a short period of sensory stimulation.
Jessica Alber   +16 more
core   +1 more source

Short-term memory and long-term memory are still different.

open access: yesPsychological Bulletin, 2017
A commonly expressed view is that short-term memory (STM) is nothing more than activated long-term memory. If true, this would overturn a central tenet of cognitive psychology-the idea that there are functionally and neurobiologically distinct short- and long-term stores.
openaire   +3 more sources

Short-term memory for pictures seen once or twice [PDF]

open access: yes, 2009
The present study is concerned with the effects of exposure time, repetition, spacing and lag on old/new recognition memory for generic visual scenes presented in a RSVP paradigm.
Maljkovic, Vera   +3 more
core   +1 more source

Quantum Long Short-Term Memory for Drug Discovery

open access: yesEPJ Quantum Technology
Abstract Quantum computing combined with machine learning (ML) is an extremely promising research area, with numerous studies demonstrating that quantum machine learning (QML) is expected to solve scientific problems more effectively than classical ML.
Liang Zhang   +4 more
openaire   +2 more sources

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