Yu, Q., Dai, S., Dong, R., & Ikuno, S. (2025). Attention-based vector quantized variational autoencoder for anomaly detection by using orthogonal subspace constraints. Pattern recognition, 164, 111500. https://doi.org/10.1016/j.patcog.2025.111500
Chicago Style (17th ed.) CitationYu, Qien, Shengxin Dai, Ran Dong, and Soichiro Ikuno. "Attention-based Vector Quantized Variational Autoencoder for Anomaly Detection by Using Orthogonal Subspace Constraints." Pattern Recognition 164 (2025): 111500. https://doi.org/10.1016/j.patcog.2025.111500.
MLA (9th ed.) CitationYu, Qien, et al. "Attention-based Vector Quantized Variational Autoencoder for Anomaly Detection by Using Orthogonal Subspace Constraints." Pattern Recognition, vol. 164, 2025, p. 111500, https://doi.org/10.1016/j.patcog.2025.111500.