画布
发表于 2025-3-25 07:03:50
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芳香一点
发表于 2025-3-25 08:13:09
William C. Innes, Jrt panels and new projection technology, including office-based immersive virtual reality environments. And on the input side, we will finally have acceptable speech recognition, force-feedback devices, and non-invasive, vision-based object and people “reconstruction”..Perceptual user-interfaces (PUI
并入
发表于 2025-3-25 13:31:00
William C. Innes, Jrw approach to realizing easy-to-use personal digital assistant systems, based on the concept of Situation Awareness. Using knowledge about task structures, situation dependencies and task contexts, our concept allows a mobile assistant to proactively provide the right information at the right time a
社团
发表于 2025-3-25 18:41:09
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optic-nerve
发表于 2025-3-25 23:51:46
William C. Innes, Jrution and size, we must first describe the variety of emerging display devices, such as large color plasma displays, LCD projectors, LED panels, Digital Light Valves (DLVs), Grating Light Valves (GLVs) and Digital Micro Mirror Displays (DMDs)..In 1991 we conceived and have since developed the CAVE v
渗入
发表于 2025-3-26 01:50:24
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修饰
发表于 2025-3-26 04:34:21
William C. Innes, Jrt panels and new projection technology, including office-based immersive virtual reality environments. And on the input side, we will finally have acceptable speech recognition, force-feedback devices, and non-invasive, vision-based object and people “reconstruction”..Perceptual user-interfaces (PUI
chassis
发表于 2025-3-26 12:09:40
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DNR215
发表于 2025-3-26 14:50:00
William C. Innes, Jrbeled news items, the publishing date of news, source URL, and dynamic information to facilitate fake news-related research in the healthcare area. A detailed description of this dataset, an exploratory analysis of this data repository from several viewpoints, and the advantages of FNH for future ap
中和
发表于 2025-3-26 17:38:48
William C. Innes, Jrture (IEMOCAP) dataset was used for both text and speech emotion recognition. The proposed ensemble technique consisting of random forest, extreme gradient boosting, and multi-layer perceptron achieves an accuracy of 70.67%, which is better than the unimodal approaches used.