Vehtari, A.[Aki],
Lampinen, J.[Jouko],
Bayesian MLP neural networks for image analysis,
PRL(21), No. 13-14, December 2000, pp. 1183-1191.
0011
BibRef
Earlier:
Bayesian Neural Networks for Image Analysis,
SCIA99(Neural Nets).
BibRef
Toivanen, M.[Miika],
Lampinen, J.[Jouko],
Incremental Bayesian learning of feature points from natural images,
FeatureSpace09(39-46).
IEEE DOI
0906
BibRef
Lampinen, J.,
Vehtari, A.,
Leinonen, K.,
Using Bayesian Neural Network to Solve the Inverse Problem in
Electrical Impedance Tomography,
SCIA99(Neural Nets).
BibRef
9900
Kandemir, M.[Melih],
Variational closed-Form deep neural net inference,
PRL(112), 2018, pp. 145-151.
Elsevier DOI
1809
Bayesian Neural Networks, Variational Bayes, Online learning, Active learning
BibRef
Roth, W.[Wolfgang],
Pernkopf, F.[Franz],
Bayesian Neural Networks with Weight Sharing Using Dirichlet
Processes,
PAMI(42), No. 1, January 2020, pp. 246-252.
IEEE DOI
1912
Artificial neural networks, Bayes methods,
Computational modeling, Task analysis, Monte Carlo methods,
non-conjugate models
BibRef
Zhao, H.[Hao],
Lu, M.[Ming],
Yao, A.B.[An-Bang],
Guo, Y.W.[Yi-Wen],
Chen, Y.R.[Yu-Rong],
Zhang, L.[Li],
Pointly-supervised scene parsing with uncertainty mixture,
CVIU(200), 2020, pp. 103040.
Elsevier DOI
2010
Scene parsing, Bayesian neural networks, Uncertainty,
Gamma mixture, Weakly-supervised learning
BibRef
Franchi, G.[Gianni],
Bursuc, A.[Andrei],
Aldea, E.[Emanuel],
Dubuisson, S.[Séverine],
Bloch, I.[Isabelle],
Encoding the Latent Posterior of Bayesian Neural Networks for
Uncertainty Quantification,
PAMI(46), No. 4, April 2024, pp. 2027-2040.
IEEE DOI
2403
Training, Bayes methods, Uncertainty, Correlation, Task analysis,
Gaussian distribution, Computational efficiency, Bayesian neural network
BibRef
Tsukahara, T.[Takuya],
Hirakawa, T.[Tsubasa],
Yamashita, T.[Takayoshi],
Fujiyoshi, H.[Hironobu],
Improving reliability of attention branch network by introducing
uncertainty,
ICPR21(1536-1542)
IEEE DOI
2105
Bayesian neural network to account for uncertainty in the answer.
Uncertainty, Image recognition, Bayes methods,
Reliability, Object recognition, Convolutional neural networks
BibRef
Rakesh, V.[Vineeth],
Jain, S.[Swayambhoo],
Efficacy of Bayesian Neural Networks in Active Learning,
LLID21(2601-2609)
IEEE DOI
2109
Uncertainty, Monte Carlo methods, Neural networks,
Estimation, Machine learning, Data models
BibRef
Aryan, M.,
Frean, M.,
Lewis, J.,
Sample-Efficient Optimization Using Bayesian Neural Networks,
IVCNZ18(1-11)
IEEE DOI
1902
Optimization, Bayes methods, Neural networks,
Computational modeling, Linear programming, Gaussian processes, Efficient
BibRef
Dayoub, F.[Feras],
Sünderhauf, N.[Niko],
Corke, P.I.[Peter Ian],
Episode-Based Active Learning with Bayesian Neural Networks,
DeepLearnRV17(498-500)
IEEE DOI
1709
Bayes methods, Entropy, Neural networks, Robots, Training, Tuning
BibRef
Chapter on Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants continues in
Graph Edit Distance, Tree-Edit Distance .