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A Hierarchy-based Analysis Approach for Blended Learning: A Case Study with Chinese Students
Blended learning is generally defined as the combination of traditional face-to-face learning and online learning. This learning mode …
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An Empirical Study of Attention Networks for Semantic Segmentation
Semantic segmentation is a vital problem in computer vision. Recently, a common solution to semantic segmentation is the end-to-end …
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Research on the Impact of Executive Shareholding on New Investment in Enterprises Based on Multivariable Linear Regression Model
Based on principal-agent theory and optimal contract theory, companies use the method of increasing executives’ shareholding to …
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Stock Volatility Prediction Based on Transformer Model Using Mixed-Frequency Data
With the increasing volume of high-frequency data in the information age, both challenges and opportunities arise in the prediction of …
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EdgeMA: Model Adaptation System for Real-Time Video Analytics on Edge Devices
Real-time video analytics on edge devices for changing scenes remains a difficult task. As edge devices are usually …
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EdgeMA: Model Adaptation System for Real-Time Video Analytics on Edge Devices
Machine Unlearning Methodology base on Stochastic Teacher Network
The rise of the phenomenon of the “right to be forgotten” has prompted research on machine unlearning, which grants data …
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Machine Unlearning Methodology base on Stochastic Teacher Network
Symbolic and Acoustic: Multi-domain Music Emotion Modeling for Instrumental Music
Music Emotion Recognition involves the automatic identification of emotional elements within music tracks, and it has garnered …
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Symbolic and Acoustic: Multi-domain Music Emotion Modeling for Instrumental Music
Voice Conversion with Denoising Diffusion Probabilistic GAN Models
Voice conversion is a method that allows for the transformation of speaking style while maintaining the integrity of linguistic …
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Voice Conversion with Denoising Diffusion Probabilistic GAN Models
Boosting Chinese ASR Error Correction with Dynamic Error Scaling Mechanism
Chinese Automatic Speech Recognition (ASR) error correction presents significant challenges due to the Chinese language’s unique …
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Boosting Chinese ASR Error Correction with Dynamic Error Scaling Mechanism
EmoMix: Emotion Mixing via Diffusion Models for Emotional Speech Synthesis
There has been significant progress in emotional Text-To-Speech (TTS) synthesis technology in recent years. However, existing methods …
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EmoMix: Emotion Mixing via Diffusion Models for Emotional Speech Synthesis