An Inverse Problem Based Approach for Differential SAR Tomography Imaging一种基于逆问题的差分干涉SAR层析成像方法差分干涉合成孔径雷达层析成像Backus-Gilbert技术逆问题正则化When reconstructing elevation-velocity image, the observation data obtained from differential SAR tomography in baseline-time plane does not...
Learning how to approach problem solving is like building a toolkit you can rely on in both everyday challenges and high-stakes decisions. It’s not just about jumping to solutions – it’s about understanding the situation, identifying the root cause, and choosing the most effective method to...
CSGM: Posterior sampling with Langevin Dynamics based on the diffusion score model. RED-Diff: A Regularizing-by-Denoising (RED), variational inference approach. Posterior sampling: use RealNVP to approximate posterior samples from diffusion models. Reference Ho et al., "Video Diffusion Models", Neu...
A Stereo Approach that Handles the Matting Problem via Image Warping Michael Bleyer1, Margrit Gelautz1, Carsten Rother2, Christoph Rhemann1 1Institute for Software Technology and Interactive Systems 2Microsoft Research Cambridge Vienna University of Technology, Austria Cambridge, UK Abstract We propose ...
approach is generic, but the solutions are idiosyncratic and reflect the sociocultural background of the mother. The solutions usually come from the experience of the mother and her family. What is “new” is applying a systematic approach to trying solutions that have a reasonably high ...
(LBL) with problem-based instruction, including role playing. The results of the reflective survey of the pilot study indicate that using PBL in the early part of education—such as in the freshman year—has advantages over theLBL approach. Students in the PBL section ranked their class higher...
The learning with errors (LWE) problem is a problem derived from machine learning that is believed to be intractable for quantum computers. This paper proposes a method that can reduce an LWE problem to a set of maximum independent set (MIS) problems, wh
This approach, therefore, helps understand the actual potential of the classification models. We report the Balanced Testing results in the paper. Although we calculated our results based on a variety of metrics, we decided to report the G-Mean after noticing that other metrics such as the F1-...
Optical Coherence Tomography (OCT) is an imaging technique based on low-coherence interferometry. It is widely applied as a qualitative imaging modality in ophthalmology where volumetric images provide structural and morphological information of the human eye, with resolutions in the range of a few mic...
Transformer models have been also used for image-based problems (Chen et al., 2021). Hence, data augmentation combined with pre-trained Transformer models can enable the generation ofsynthetic imageandvideo datathat can addressclass imbalance problems....