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67 871 (0,145s)

Result

An Adaptive Correlated Image Prior for Image Restoration Problems

is equivalent to prior model of the image. An added value of Bayesian point of view is the ability to form a hierarchical model and estimate the hyper-parameters of the prior from the data. Many prior models are a...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2018
  • Jimp
  • Link
Result

The Hitchhiker's Guide to Prior-Shift Adaptation

. This paper analyzes methods for adaptation of probabilistic classifiers to new priors values in the estimated priors. Experiments on fine-grained image classification results in prior adaptation...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2022
  • D
  • Link
Result

Understanding Deep Image Prior

handcrafted priors and achieve superior performance. This contribution will focus on Deep Image Prior, the pioneering work utilizing untrained neural priors, its applicationsInverse problems in imaging, l...

Statistics and probability

  • 2023
  • D
Result

Single Image Test-Time Adaptation for Segmentation

Test-Time Adaptation methods improve domain shift robustness of deep neural networks. We explore the adaptation of segmentation models to a single unlabelled image with no other data available at test time. This allows indi...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2024
  • Jost
  • Link
Result

Prior knowledge for computer design of adaptive control.

The paper is oriented on the quantification of prior knowledge about controlled system. This is applied in the process of computer design of adaptive control. In this process, the important consideration is devoted to the quality of...

BC - Teorie a systémy řízení

  • 2002
  • Jx
Result

“Super-deblended” Dust Emission in Galaxies. II. Far-IR to (Sub)millimeter Photometry and High-redshift Galaxy Candidates in the Full COSMOS Field

recently developed by Liu et al., with key adaptations. We obtain point-spread function fitting photometry at fixed prior positions including 88,008 galaxies detected in VLA 1.4, 3 GHz, and/or MIPS 24 mu m images. By addin...

Astronomy (including astrophysics,space science)

  • 2018
  • Jimp
  • Link
Result

Image demosaicing using Deep Image Prior

The paper focuses on the problem of image demosaicing using the deep image prior. The deep image prior (DIP) is an uncommon concept that uses a generative neural network which, however, utilizes only the d...

Telecommunications

  • 2023
  • O
  • Link
Result

Smoothness prior information in principal component analysis of dynamic image data

image processing,principal component analysis,data normalization...

FS - Lékařská zařízení, přístroje a vybavení

  • 2001
  • C
Result

Blind Deconvolution Using Alternating Maximum a Posteriori Estimation with Heavy-Tailed Priors

We presented a method on blur estimation from a single image and sharp image recovery using ultra sparse gradient priors and augmented Lagrangian method....

JD - Využití počítačů, robotika a její aplikace

  • 2013
  • D
Result

Adaptive Practice of Facts in Domains with Varied Prior Knowledge

We propose a modular approach to development of a computerized adaptive practice system for learning of facts in areas with widely varying prior knowledge: decomposing the system into estimation of prior knowledge, estimati...

IN - Informatika

  • 2014
  • D
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