Results 31 to 40 of about 695,054 (265)
A Knowledge-Driven Multimedia Retrieval System Based on Semantics and Deep Features
Future Internet, 2020 In recent years the information user needs have been changed due to the heterogeneity of web contents which increasingly involve in multimedia contents.
Antonio Maria Rinaldi +2 more
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Transferable Deep Features for Keyword Spotting [PDF]
International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM), 2018 Publication in the conference proceedings of IWCIM, Kos island, Greece ...
George Retsinas +2 more
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Deep Features for Text Spotting
, 2014 The goal of this work is text spotting in natural images. This is divided into two sequential tasks: detecting words regions in the image, and recognizing the words within these regions. We make the following contributions: first, we develop a Convolutional Neural Network (CNN) classifier that can be used for both tasks.
Jaderberg, M, Vedaldi, A, Zisserman, A
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Radar HRRP recognition based on CNN
The Journal of Engineering, 2019 In this study, ground target recognition based on one-dimensional convolutional neural network (CNN) is studied by exploiting the targets’ high-resolution range profiles (HRRPs). Contrary to conventional methods which need feature extraction artificially,
Jia Song +4 more
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Frontiers in Neuroscience, 2023 IntroductionIn the clinical setting, it becomes increasingly important to detect epileptic seizures automatically since it could significantly reduce the burden for the care of patients suffering from intractable epilepsy.
Wei Zeng +6 more
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Deep Feature Factorization for Concept Discovery [PDF]
, 2018 We propose Deep Feature Factorization (DFF), a method capable of localizing similar semantic concepts within an image or a set of images. We use DFF to gain insight into a deep convolutional neural network's learned features, where we detect hierarchical cluster structures in feature space.
Collins, Edo +2 more
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Journal of Imaging, 2022 Hypertrophic cardiomyopathy (HCM) is a genetic disorder that exhibits a wide spectrum of clinical presentations, including sudden death. Early diagnosis and intervention may avert the latter.
Anjan Gudigar +9 more
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Detection of coronavirus Disease (COVID-19) based on Deep Features and Support Vector Machine [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2020 The detection of coronavirus (COVID-19) is now a critical task for the medical practitioner. The coronavirus spread so quickly between people and approaches 100,000 people worldwide. In this consequence, it is very much essential to identify the infected
Prabira Kumar Sethy +3 more
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Deep Feature Learning for Medical Acoustics
, 2022 The purpose of this paper is to compare different learnable frontends in medical acoustics tasks. A framework has been implemented to classify human respiratory sounds and heartbeats in two categories, i.e. healthy or affected by pathologies. After obtaining two suitable datasets, we proceeded to classify the sounds using two learnable state-of-art ...
Poire A. M. +2 more
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Feature Enhancement with Deep Feature Losses for Speaker Verification [PDF]
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020 Speaker Verification still suffers from the challenge of generalization to novel adverse environments. We leverage on the recent advancements made by deep learning based speech enhancement and propose a feature-domain supervised denoising based solution.
Saurabh Kataria 0001 +5 more
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