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1
A Combined Text-Based and Metadata-Based Deep-Learning Framework for the Detection of Spam Accounts on the Social Media Platform Twitter
In: Processes; Volume 10; Issue 3; Pages: 439 (2022)
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2
Active Binaural Auditory Perceptual System for a Socially Interactive Humanoid Robot
In: Engineering Proceedings; Volume 12; Issue 1; Pages: 83 (2022)
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3
Temporal Convolution Network Based Joint Optimization of Acoustic-to-Articulatory Inversion
In: Applied Sciences ; Volume 11 ; Issue 19 (2021)
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4
Racial Identity-Aware Facial Expression Recognition Using Deep Convolutional Neural Networks
In: Applied Sciences; Volume 12; Issue 1; Pages: 88 (2021)
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5
Real-time New Zealand sign language translator using convolution neural network
Jayasekera, Mathes Kankanamge Chami. - : The University of Waikato, 2021
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6
A Dynamic Gesture Recognition Interface for Smart Home Control based on Croatian Sign Language
In: Applied Sciences ; Volume 10 ; Issue 7 (2020)
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7
A High Efficient Biological Language Model for Predicting Protein–Protein Interactions
In: Cells ; Volume 8 ; Issue 2 (2019)
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8
Gesture Recognition of RGB and RGB-D Static Images Using Convolutional Neural Networks
Khari, Manju; Garg, Aditya Kumar; González-Crespo, Rubén (1). - : International Journal of Interactive Multimedia and Artificial Intelligence, 2019
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9
An end-to-end approach to language identification in short utterances using convolutional neural networks
Lozano-Díez, Alicia; Zazo Candil, Rubén; González Domínguez, Javier. - : International Speech and Communication Association, 2016
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10
Identifying high-impact sub-structures for convolution kernels in document-level sentiment classification
In: Tu, Zhaopeng, He, Yifan, Foster, Jennifer orcid:0000-0002-7789-4853 , van Genabith, Josef orcid:0000-0003-1322-7944 , Liu, Qun and Shouxun, Lin (2012) Identifying high-impact sub-structures for convolution kernels in document-level sentiment classification. In: Annual Meeting of the Association for Computational Linguistics (ACL 2012), 9-11 Jul 2012, Jelu, Korea. (2012)
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11
Phase Estimation with Application to Speech Analysis-Synthesis.
In: DTIC AND NTIS (1979)
Abstract: This dissertation addresses the problem of estimating the phase of the frequency response of mixed phase signals and systems. A number of techniques are applied to estimation of the phase frequency response of the speech production tract from quasi-periodic speech segments. Methods of phase estimation are categorized as indirect or direct. A subject of the indirect procedures yield a closed form solution for retrieving the phase from the magnitude of a mixed phase frequency response and a priori knowledge about the corresponding signal. Linear iterative algorithms are also developed for retrieving the phase from the magnitude, and, similarly, the magnitude from the phase, with a casuality or finite duration constraint imposed on the desired signal. The iterative algorithm for magnitude retrieval provides an alternative to the Hilbert transform for obtaining the magnitude from the phase of a minimum phase signal, but without the need of an unwrapped phase. In addition, it serves as the major component within a new phase unwrapping algorithm which does not require modulo 2(pi) considerations. An alternate indirect strategy changes a phase estimation problem to one of magnitude estimation by modifying a quasi-periodic waveform so that the desired impulse response takes on a minimum phase characteristic.
Keyword: *PHASE STUDIES; *SPEECH ANALYSIS; ALGORITHMS; CONVOLUTION INTEGRALS; ESTIMATES; FOURIER TRANSFORMATION; FREQUENCY RESPONSE; HILBERT SPACE; Homomorphisms; Human Factors Engineering & Man Machine System; INFORMATION RETRIEVAL; INTERPOLATION; ITERATIONS; Psychology; THESES; TRANSFORMATIONS(MATHEMATICS); VOCODERS; WUNR049328
URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA087670
http://www.dtic.mil/docs/citations/ADA087670
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12
Ontology Kernel - A Convolution Kernel for Ontology Alignment
In: http://journal.iis.sinica.edu.tw/paper/1/130648-3.pdf?cd%3D4FDE03273B6C6DD40
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13
Ontology Kernel A Convolution Kernel for Ontology Alignment*
In: http://disi.unitn.it/%7Ep2p/RelatedWork/Matching/201503_04.pdf
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14
Computational Thinking with Spreadsheet: Convolution, High-Precision Computing and Filtering of Signals and Images
In: http://research.ijcaonline.org/volume60/number19/pxc3884405.pdf
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