Výsledky vyhledávání - "sequential variational autoencoder"

Sequential Variational Autoencoder with Adversarial Classifier for Video Disentanglement Autor Haga, Takeshi, Kera, Hiroshi, Kawamoto, Kazuhiko

“…In this paper, we propose a sequential variational autoencoder for video disentanglement, which is a representation learning method that can be used to separately extract static and dynamic features from videos…”
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Dam anomaly assessment based on sequential variational autoencoder and evidence theory Autor Shu, Xiaosong, Bao, Tengfei, Xu, Ruichen, Li, Yangtao, Zhang, Kang

“…Considering the multi-sources, heterogeneity and complexity of dam anomaly assessment, a novel anomaly assessment model based on sequential variational autoencoder and evidence theory is proposed…”
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Disentangled Sequential Variational Autoencoder for Collaborative Filtering Autor Wu, Mei-lin, Huang, Jia-jin, Qin, Jin

“…Recommendation models typically use user's historical behaviors to obtain user preference representations for recommendations.Most of the methods of learning…”
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Sequential Variational Autoencoder for Industrial Inferential Modeling Autor Song, Zehui, Wang, Zhuocheng, Yu, Guo, Jiang, Chao, Li, Jun, Bo, Cuimei

“… To address these challenges, this study introduces the Sequential Variational Autoencoder (SVAE). The SVAE model incorporates sophisticated self-attention…”
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Contrastively Disentangled Sequential Variational Autoencoder Autor Bai, Junwen, Wang, Weiran, Gomes, Carla

“… We propose a novel sequence representation learning method, named Contrastively Disentangled Sequential Variational Autoencoder (C-DSVAE…”
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StressFADS: Learning Latent Autonomic Factors of Stress in the Context of Trauma Recall and Neuromodulation Autor Gazi, Asim H., Chan, Michael, Hsu, Hao-Lun, Bremner, J. Douglas, Rozell, Christopher J., Inan, Omer T.

“…Physiological markers of stress and neuromodulation (e.g., heart rate variability) are often inconsistent when it comes to quantifying changes in autonomic…”
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Discriminative Feature Extraction Based on Sequential Variational Autoencoder for Speaker Recognition Autor Yoshimura, Takenori, Koike, Natsumi, Hashimoto, Kei, Oura, Keiichiro, Nankaku, Yoshihiko, Tokuda, Keiichi

“…This paper presents an extended version of the variational autoencoder (VAE) for sequence modeling. In contrast to the original VAE, the proposed model can…”
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NEC (6701) issued patent titled "Self-supervised sequential variational autoencoder for disentangled data generation"

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US Patent Issued to NEC on Aug. 23 for "Self-supervised sequential variational autoencoder for disentangled data generation" (New Jersey, California Inventors)

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INTERNATIONAL PATENT: NEC LABORATORIES AMERICA, INC. FILES APPLICATION FOR "SELF-SUPERVISED SEQUENTIAL VARIATIONAL AUTOENCODER FOR DISENTANGLED DATA GENERATION"

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Medical Data Wrangling With Sequential Variational Autoencoders Autor Barrejon, Daniel, Olmos, Pablo M., Artes-Rodriguez, Antonio

“… collected in a misaligned uneven fashion, among other causes. This paper proposes to model medical data records with heterogeneous data types and bursty missing data using sequential variational autoencoders (VAEs…”
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Dual Sequential Variational Autoencoders for Fraud Detection

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Medical data wrangling with sequential variational autoencoders Autor Barrejón, Daniel, Olmos, Pablo M, Artés-Rodríguez, Antonio

“… collected in a misaligned uneven fashion, among other causes. This paper proposes to model medical data records with heterogeneous data types and bursty missing data using sequential variational autoencoders (VAEs…”
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S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation Autor Zhu, Yizhe, Min, Martin Renqiang, Kadav, Asim, Graf, Hans Peter

“…We propose a sequential variational autoencoder to learn disentangled representations of sequential data (e.g., videos and audios…”
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Semisupervised Text Classification by Variational Autoencoder Autor Xu, Weidi, Tan, Ying

“… In this paper, a novel model, the semisupervised sequential variational autoencoder (SSVAE), is proposed to tackle this problem…”
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Robust Disentangled Variational Speech Representation Learning for Zero-Shot Voice Conversion Autor Lian, Jiachen, Zhang, Chunlei, Yu, Dong

“… Specifically, we achieve the disentanglement by balancing the information flow between global speaker representation and time-varying content representation in a sequential variational autoencoder (VAE…”
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Contrastive Self-Supervised Speaker Embedding With Sequential Disentanglement Autor Tu, Youzhi, Mak, Man-Wai, Chien, Jen-Tzung

“… In this paper, we propose a contrastive learning framework with sequential disentanglement to remove linguistic content by incorporating a disentangled sequential variational autoencoder (DSVAE…”
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Contrastive Speaker Embedding With Sequential Disentanglement Autor Tu, Youzhi, Mak, Man-Wai, Chien, Jen-Tzung

“… In this paper, we propose a contrastive learning framework with sequential disentanglement to remove linguistic content by incorporating a disentangled sequential variational autoencoder (DSVAE…”
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VAE-LSTM Data Augmentation for Cattle Behavior Classification Using a Wearable Inertial Sensor Autor Dang, Thai-Ha, Park, Jaehee, Tran, Viet-Thang, Chung, Wan Young

“… However, the augmentation of time-series motion sensor data remains underexplored. This letter proposes a sequential variational autoencoder long short-term memory (VAE-LSTM…”
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Accurate Identification of Communication Between Multiple Interacting Neural Populations Autor Liu, Belle, Sacks, Jacob, Golub, Matthew D

“… Here, we introduce Multi-Region Latent Factor Analysis via Dynamical Systems (MR-LFADS), a sequential variational autoencoder designed to disentangle inter-regional…”
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