Return
Applying knowledge to reverse engineering problems
DOI:10.1016/S0010-4485(03)00158-1.png)
Abstract
En 中文
This paper summarizes a series of recent research results made at Edinburgh University based on projects that apply domain knowledge of standard shapes and relation ships to solve or improve reverse engineering problems. The problems considered are how to enforce known relationships when data fitting, how to extract features even in very noisy data, how to get better shape parameter estimates and how to infer data about unseen features. (C) 2003 Elsevier Ltd. All rights reserved.
Keywords:
range data
reverse engineering
constraints
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
C
IF:
3.1
Papers:
3.1K
Citations:
6.4K
Organization
No organization information available
Cited Papers
Protein Disulfide Isomerase Regulates Endoplasmic Reticulum Stress and the Apoptotic Process during Prion Infection and PrP Mutant-Induced Cytotoxicity
PLoS ONE
IF0
MicroRNA-100 promotes the autophagy of hepatocellular carcinoma cells by inhibiting the expression of mTOR and IGF-1R
Oncotarget
IF0
Elevated Serum Uric Acid Is Associated with Greater Bone Mineral Density and Skeletal Muscle Mass in Middle-Aged and Older Adults
PLOS ONE
IF0

