Results 31 to 40 of about 510,572 (297)
Individualized Interaural Feature Learning and Personalized Binaural Localization Model
Applied Sciences, 2019 The increasing importance of spatial audio technologies has demonstrated the need and importance of correctly adapting to the individual characteristics of the human auditory system, and illustrates the crucial need for humanoid localization systems for ...
Xiang Wu +3 more
doaj +1 more source
Ants Learn Geometry and Features [PDF]
Current Biology, 2009 Rats trained to relocate a particular corner in a rectangular arena systematically confound the correct corner and the diametrically opposite one--this rotational error demonstrates the use of the geometry of space (i.e., the spatial arrangement of the different components of a visual scene).
Wystrach, Antoine, Beugnon, Guy
openaire +3 more sources
Multiview Deep Feature Learning Network for SAR Automatic Target Recognition
Remote Sensing, 2021 Multiview synthetic aperture radar (SAR) images contain much richer information for automatic target recognition (ATR) than a single-view one. It is desirable to establish a reasonable multiview ATR scheme and design effective ATR algorithm to thoroughly
Jifang Pei +6 more
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Hyperspectral Image Classification—Traditional to Deep Models: A Survey for Future Prospects
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Hyperspectral imaging (HSI) has been extensively utilized in many real-life applications because it benefits from the detailed spectral information contained in each pixel.
Muhammad Ahmad +9 more
doaj +1 more source
Feature Discovery by Competitive Learning* [PDF]
Cognitive Science, 1985 This paper reports the results of our studies with an unsupervised learning paradigm which we have called “Competitive Learning.” We have examined competitive learning using both computer simulation and formal analysis and have found that when it is applied to parallel networks of neuron‐like elements, many potentially useful learning tasks can be ...
D RUMELHART, D ZIPSER
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GraRep++: Flexible Learning Graph Representations With Weighted Global Structural Information
IEEE Access, 2023 The key to vertex embedding is to learn low-dimensional representations of global graph information, and integrating information from multiple steps is an effective strategy.
Mengcen Ouyang +3 more
doaj +1 more source
Comparison of Feature Learning Methods for Human Activity Recognition Using Wearable Sensors
Sensors, 2018 Getting a good feature representation of data is paramount for Human Activity Recognition (HAR) using wearable sensors. An increasing number of feature learning approaches—in particular deep-learning based—have been proposed to extract an effective ...
Frédéric Li +4 more
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IEEE Access, 2021 Electrocardiogram (ECG) has extremely discriminative characteristics in the biometric field and has recently received significant interest as a promising biometric trait.
Anthony Ngozichukwuka Uwaechia +1 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction We developed MedSupport, a multilevel medication adherence intervention designed to address root barriers to medication adherence. This study sought to explore the feasibility and acceptability of the MedSupport intervention strategies to support a future full‐scale randomized controlled trial.
Elizabeth G. Bouchard +8 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Cyclophosphamide (CY) is associated with potentially fatal cardiotoxicity, yet no electrocardiographic indices have been established for early detection of CY‐induced cardiomyopathy. This study aimed to determine whether corrected QT interval (QTc) prolongation can predict early onset of CY‐related cardiac dysfunction in pediatric ...
Junpei Kawamura +5 more
wiley +1 more source