ORKA: Object reconstruction using a K-approximation graph
Sign Up to like & getrecommendations! Published in 2022 at "Inverse Problems"
DOI: 10.1088/1361-6420/aca046
Abstract: Data processing has to deal with many practical difficulties. Data is often corrupted by artifacts or noise and acquiring data can be expensive and difficult. Thus, the given data is often incomplete and inaccurate. To… read more here.
Keywords: approximation graph; approximation; orka object; object reconstruction ... See more keywords
Sparse Quadratic Approximation for Graph Learning.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2023.3263969
Abstract: Learning graphs represented by M-matrices via an l1-regularized Gaussian maximum-likelihood method is a popular approach, but also one that poses computational challenges for large scale datasets. Recently proposed methods cast this problem as a constrained… read more here.
Keywords: sparse quadratic; graph; approximation graph; method ... See more keywords