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Venues (Conferences, Journals, ...)
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GrowBag graphs for keyword ? (Num. hits/coverage)
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The graphs summarize 13 occurrences of 13 keywords
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Results
Found 31 publication records. Showing 31 according to the selection in the facets
Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
63 | Rafael Molina 0001 |
On the Hierarchical Bayesian Approach to Image Restoration: Applications to Astronomical Images. |
IEEE Trans. Pattern Anal. Mach. Intell. |
1994 |
DBLP DOI BibTeX RDF |
hierarchical Bayesian approach, astronomical images, local characteristics, hyperprior, hyperparameters estimation, noise, image restoration, image restoration, maximum likelihood estimation, Bayes methods, image models, astronomy |
29 | Yusong Hu, Cheolkon Jung, Qipu Qin, Jiang Han, Yang Liu, Ming Li |
HDVC: Deep Video Compression With Hyperprior-Based Entropy Coding. |
IEEE Access |
2024 |
DBLP DOI BibTeX RDF |
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29 | Wannian An, Zhicheng Bao, Haotai Liang, Chen Dong 0001, Xiaodong Xu 0001 |
A Relay System for Semantic Image Transmission Based on Shared Feature Extraction and Hyperprior Entropy Compression. |
IEEE Internet Things J. |
2024 |
DBLP DOI BibTeX RDF |
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29 | Wannian An, Zhicheng Bao, Haotai Liang, Chen Dong 0001, Xiaodong Xu 0001 |
A Relay System for Semantic Image Transmission based on Shared Feature Extraction and Hyperprior Entropy Compression. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
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29 | Kazuaki Murayama, Shuichi Kawano |
Sparse Bayesian Learning With Weakly Informative Hyperprior and Extended Predictive Information Criterion. |
IEEE Trans. Neural Networks Learn. Syst. |
2023 |
DBLP DOI BibTeX RDF |
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29 | Joon Byun, Seungmin Shin, Youngcheol Park, Jongmo Sung, Seungkwon Beack |
A Perceptual Neural Audio Coder with a Mean-Scale Hyperprior. |
ICASSP |
2023 |
DBLP DOI BibTeX RDF |
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29 | Zhihao Hu, Guo Lu, Jinyang Guo, Shan Liu, Wei Jiang, Dong Xu 0001 |
Coarse-to-fine Deep Video Coding with Hyperprior-guided Mode Prediction. |
CoRR |
2022 |
DBLP DOI BibTeX RDF |
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29 | Ao Luo, Heming Sun, Jinming Liu, Jiro Katto |
Memory-Efficient Learned Image Compression with Pruned Hyperprior Module. |
ICIP |
2022 |
DBLP DOI BibTeX RDF |
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29 | Shengkai Wang, Hanli Wang |
Discretized Gaussian Mixture Hyperprior for Learned Image Compression with Mask Module. |
ICME |
2022 |
DBLP DOI BibTeX RDF |
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29 | Zhihao Hu, Guo Lu, Jinyang Guo, Shan Liu, Wei Jiang, Dong Xu 0001 |
Coarse-To-Fine Deep Video Coding with Hyperprior-Guided Mode Prediction. |
CVPR |
2022 |
DBLP DOI BibTeX RDF |
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29 | Yuanyuan Guo, Yanwen Chong, Yun Ding, Shaoming Pan, Xiaolin Gu |
Learned Hyperspectral Compression Using a Student's T Hyperprior. |
Remote. Sens. |
2021 |
DBLP DOI BibTeX RDF |
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29 | |
A novel patch selection technique in ANN B-Spline Bayesian hyperprior interpolation VLSI architecture using fuzzy logic for highspeed satellite image processing. |
J. Ambient Intell. Humaniz. Comput. |
2021 |
DBLP DOI BibTeX RDF |
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29 | Madhav Mishra, Jesper Martinsson, Kai Goebel, Matti Rantatalo |
Bearing Life Prediction With Informed Hyperprior Distribution: A Bayesian Hierarchical and Machine Learning Approach. |
IEEE Access |
2021 |
DBLP DOI BibTeX RDF |
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29 | Zhao Zan, Chao Liu 0027, Heming Sun, Xiaoyang Zeng, Yibo Fan |
Learned Image Compression With Separate Hyperprior Decoders. |
IEEE Open J. Circuits Syst. |
2021 |
DBLP DOI BibTeX RDF |
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29 | Zhao Zan, Chao Liu 0027, Heming Sun, Xiaoyang Zeng, Yibo Fan |
Learned Image Compression with Separate Hyperprior Decoders. |
CoRR |
2021 |
DBLP BibTeX RDF |
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29 | Fabian Brand, Kristian Fischer 0001, André Kaup |
Rate-Distortion Optimized Learning-Based Image Compression Using an Adaptive Hierachical Autoencoder With Conditional Hyperprior. |
CVPR Workshops |
2021 |
DBLP BibTeX RDF |
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29 | Kazuaki Murayama, Shuichi Kawano |
Relevance Vector Machine with Weakly Informative Hyperprior and Extended Predictive Information Criterion. |
CoRR |
2020 |
DBLP BibTeX RDF |
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29 | Rige Su, Zhengxue Cheng, Heming Sun, Jiro Katto |
Scalable Learned Image Compression With A Recurrent Neural Networks-Based Hyperprior. |
ICIP |
2020 |
DBLP DOI BibTeX RDF |
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29 | Zhengxue Cheng, Heming Sun, Masaru Takeuchi, Jiro Katto |
Learned Lossless Image Compression with A Hyperprior and Discretized Gaussian Mixture Likelihoods. |
ICASSP |
2020 |
DBLP DOI BibTeX RDF |
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29 | Abdul Fatir Ansari, Harold Soh |
Hyperprior Induced Unsupervised Disentanglement of Latent Representations. |
AAAI |
2019 |
DBLP DOI BibTeX RDF |
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29 | Johannes Ballé, David Minnen, Saurabh Singh, Sung Jin Hwang, Nick Johnston |
Variational image compression with a scale hyperprior. |
CoRR |
2018 |
DBLP BibTeX RDF |
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29 | Abdul Fatir Ansari, Harold Soh |
Hyperprior Induced Unsupervised Disentanglement of Latent Representations. |
CoRR |
2018 |
DBLP BibTeX RDF |
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29 | Johannes Ballé, David Minnen, Saurabh Singh, Sung Jin Hwang, Nick Johnston |
Variational image compression with a scale hyperprior. |
ICLR (Poster) |
2018 |
DBLP BibTeX RDF |
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29 | Cecilia Aguerrebere, Andrés Almansa, Julie Delon, Yann Gousseau, Pablo Musé |
A Bayesian Hyperprior Approach for Joint Image Denoising and Interpolation, With an Application to HDR Imaging. |
IEEE Trans. Computational Imaging |
2017 |
DBLP DOI BibTeX RDF |
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29 | Jun Lu |
Hyperprior on symmetric Dirichlet distribution. |
CoRR |
2017 |
DBLP BibTeX RDF |
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29 | Cecilia Aguerrebere, Andrés Almansa, Julie Delon, Yann Gousseau, Pablo Musé |
A Bayesian Hyperprior Approach for Joint Image Denoising and Interpolation, with an Application to HDR Imaging. |
CoRR |
2017 |
DBLP BibTeX RDF |
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29 | Juho Piironen, Aki Vehtari |
On the Hyperprior Choice for the Global Shrinkage Parameter in the Horseshoe Prior. |
AISTATS |
2017 |
DBLP BibTeX RDF |
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29 | Miguel Ángel Gómez-Villegas, Paloma Main, Hilario Navarro, Rosario Susi |
Sensitivity to hyperprior parameters in Gaussian Bayesian networks. |
J. Multivar. Anal. |
2014 |
DBLP DOI BibTeX RDF |
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26 | Jinbo Bi, Tao Xiong, Shipeng Yu, Murat Dundar, R. Bharat Rao |
An Improved Multi-task Learning Approach with Applications in Medical Diagnosis. |
ECML/PKDD (1) |
2008 |
DBLP DOI BibTeX RDF |
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26 | Ignacio Barrio, Enrique Romero, Lluís Belanche |
Extended Linear Models with Gaussian Prior on the Parameters and Adaptive Expansion Vectors. |
ICANN (1) |
2007 |
DBLP DOI BibTeX RDF |
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26 | Mário A. T. Figueiredo |
Adaptive Sparseness for Supervised Learning. |
IEEE Trans. Pattern Anal. Mach. Intell. |
2003 |
DBLP DOI BibTeX RDF |
classification, feature selection, regression, Supervised learning, kernel methods, sparseness, expectation-maximization algorithm |
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