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Books and Theses
- 2014
[b1]Jyri J. Kivinen:
Statistical models for natural scene data. University of Edinburgh, UK, 2014
Conference and Workshop Papers
- 2014
- [c5]Jyri J. Kivinen, Christopher K. I. Williams, Nicolas Heess:
Visual Boundary Prediction: A Deep Neural Prediction Network and Quality Dissection. AISTATS 2014: 512-521 - 2012
- [c4]Jyri J. Kivinen, Christopher K. I. Williams:
Multiple Texture Boltzmann Machines. AISTATS 2012: 638-646 - 2011
- [c3]Jyri J. Kivinen, Christopher K. I. Williams:
Transformation Equivariant Boltzmann Machines. ICANN (1) 2011: 1-9 - 2007
- [c2]Jyri J. Kivinen, Erik B. Sudderth
, Michael I. Jordan:
Learning Multiscale Representations of Natural Scenes Using Dirichlet Processes. ICCV 2007: 1-8 - [c1]Jyri J. Kivinen, Erik B. Sudderth, Michael I. Jordan:
Image Denoising with Nonparametric Hidden Markov Trees. ICIP (3) 2007: 121-124
Informal and Other Publications
- 2019
- [i2]Jaakko Sahlsten, Joel Jaskari, Jyri J. Kivinen, Lauri Turunen, Esa Jaanio, Kustaa Hietala, Kimmo Kaski:
Deep Learning Fundus Image Analysis for Diabetic Retinopathy and Macular Edema Grading. CoRR abs/1904.08764 (2019) - 2018
- [i1]Joel Jaskari, Jyri J. Kivinen:
A Novel Variational Autoencoder with Applications to Generative Modelling, Classification, and Ordinal Regression. CoRR abs/1812.07352 (2018)
Coauthor Index
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