Results 81 to 90 of about 439,227 (216)
Long short-term memory recurrent neural networks for signature verification
>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
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
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
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ILSTMA: Enhancing Accuracy and Speed of Long-Term and Short-Term Memory Architecture
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
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)
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
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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
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Short-term memory and long-term memory are still different.
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.
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Short-term memory for pictures seen once or twice [PDF]
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
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
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