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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5...15 Hits 1 – 20 of 290 1 Καταστολή ηχητικού θορύβου μέσω τεχνικών μηχανικής μάθησης ... Φιλιππίδης, Σπυρίδων Σταύρου. - : Aristotle University of Thessaloniki, 2022 BASE Show details 2 Effect of Lexical-Semantic Cues during Real-Time Sentence Processing in Aphasia Niloofar Akhavan; Christina Sen; Carolyn Baker; Noelle Abbott; Michelle Gravier; Tracy Love In: Brain Sciences; Volume 12; Issue 3; Pages: 312 (2022) BASE Show details 3 Mesh Clustering and Reordering Based on Normal Locality for Efficient Rendering Sungjin Kim; Chang Ha Lee In: Symmetry; Volume 14; Issue 3; Pages: 466 (2022) BASE Show details 4 Real-Time Hand Gesture Recognition Using Fine-Tuned Convolutional Neural Network Jaya Prakash Sahoo; Allam Jaya Prakash; Paweł Pławiak; Saunak Samantray In: Sensors; Volume 22; Issue 3; Pages: 706 (2022) Abstract: Hand gesture recognition is one of the most effective modes of interaction between humans and computers due to being highly flexible and user-friendly. A real-time hand gesture recognition system should aim to develop a user-independent interface with high recognition performance. Nowadays, convolutional neural networks (CNNs) show high recognition rates in image classification problems. Due to the unavailability of large labeled image samples in static hand gesture images, it is a challenging task to train deep CNN networks such as AlexNet, VGG-16 and ResNet from scratch. Therefore, inspired by CNN performance, an end-to-end fine-tuning method of a pre-trained CNN model with score-level fusion technique is proposed here to recognize hand gestures in a dataset with a low number of gesture images. The effectiveness of the proposed technique is evaluated using leave-one-subject-out cross-validation (LOO CV) and regular CV tests on two benchmark datasets. A real-time American sign language (ASL) recognition system is developed and tested using the proposed technique. Keyword: ASL; fine-tunning; hand gesture recognition; pre-trained CNN; real-time gesture recognition; score fusion URL: https://doi.org/10.3390/s22030706 BASE Hide details 5 Articulation of geminate obstruents in the Ikema dialect of Miyako Ryukyuan: A real-time MRI analysis Fujimoto, Masako; SHINOHARA, Shigeko; Mochihashi, Daichi In: ISSN: 0025-1003 ; EISSN: 1475-3502 ; Journal of the International Phonetic Association ; https://hal.archives-ouvertes.fr/hal-03096154 ; Journal of the International Phonetic Association, Cambridge University Press (CUP), 2021, pp.1-25 ; https://www.cambridge.org/core/ (2021) BASE Show details 6 Integration of Social Context vs. Linguistic Reference During Situated Language Processing ... Maquate, Katja; Knoeferle, Pia. - : Humboldt-Universität zu Berlin, 2021 BASE Show details 7 «ПОЛЕВАЯ» ИДЕНТИФИКАЦИЯ ЧЕЛОВЕКА ... : «FIELDWORK» IDENTIFICATION OF A PERSON ... Пимонов Борис Викторович. - : Вестник Восточно-Сибирского института МВД России, 2021 BASE Show details 8 転置畳み込みニューラルネットワークを用いたrtMRIデータからの調音-音響変換 丹治 涼; 大村 英史; 澤田 隼... In: https://ccd.ninjal.ac.jp/lrw2021.html (2021) BASE Show details 9 口蓋3次元データの作成とWAVEでの発話計測実験への応用 能田 由紀子; 北村 達也; Yukiko NOTA... In: https://ccd.ninjal.ac.jp/lrw2021.html (2021) BASE Show details 10 リアルタイムMRI動画データベースプロジェクトの概要と調音音声学への応用 前川 喜久雄; Kikuo MAEKAWA In: https://ccd.ninjal.ac.jp/lrw2021.html (2021) BASE Show details 11 リアルタイムMRI調音動画データの閲覧および解析環境の開発 浅井 拓也; 菊池 英明; 前川 喜久雄... In: https://ccd.ninjal.ac.jp/lrw2021.html (2021) BASE Show details 12 リアルタイムMRI動画から抽出した声道の輪郭に基づく平均声道の基礎的検討 竹本 浩典; 天野 沢海; Hironori TAKEMOTO... In: https://ccd.ninjal.ac.jp/lrw2021.html (2021) BASE Show details 13 A Survey on Sign Language Recognition ... S, Abilash; Ashish, Ashish; K S, Shreyas. - : Zenodo, 2021 BASE Show details 14 A Survey on Sign Language Recognition ... S, Abilash; Ashish, Ashish; K S, Shreyas. - : Zenodo, 2021 BASE Show details 15 Selection of Key Frames for 3D Reconstruction in Real Time Koschel; Müller; Reiterer In: Algorithms ; Volume 14 ; Issue 11 (2021) BASE Show details 16 Soundpainting Sign Language: Possibilities and Connections with Tactileology Arnau Millà In: Philosophies ; Volume 6 ; Issue 3 (2021) BASE Show details 17 Integration of Social Context vs. Linguistic Reference During Situated Language Processing Maquate, Katja; Knoeferle, Pia. - : Humboldt-Universität zu Berlin, 2021 BASE Show details 18 Referential vs. Non-referential World-Language Relations: How Do They Modulate Language Comprehension in 4 to 5-Year-Olds, Younger, and Older Adults? Maquate, Katja; Knoeferle, Pia. - : Humboldt-Universität zu Berlin, 2021 BASE Show details 19 Calibrate to innovate: Community age vectors and the real time incrementation of language change Holmes-Elliott, S. - 2021 BASE Show details 20 Aging and Referential Communication: Insights from Interactions with Artificial Agents Haji Gholam Saryazdi, Raheleh. - : University of Toronto, 2021 BASE Show details Page: 1 2 3 4 5...15

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