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Everything about Semidefinite embedding
Maximum Variance Unfolding (MVU), also known as Semidefinite Embedding (SDE), is an algorithm in computer science that uses semidefinite programming to perform non-linear dimensionality reduction of high-dimensional vectorial input data. Wikipedia →
🧠Start here: a 6-step reading path
- Read the overview: Semidefinite embeddingA 5-minute orientation
- Pick up a classic book: Aspects of semidefinite programmingThe most-reprinted book on the subject
- Read the landmark paper: Initialization in semidefinite programming via a self-dual skew-symmetric embeddingCited 56 times
- Go sideways: Manifold alignmentA closely related topic
- Go sideways: IsomapA closely related topic
đź“– Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Initialization in semidefinite programming via a self-dual skew-symmetric embedding
Tight Semidefinite Relaxation for Interval Power Flow Model Based on Multi-Dimensional Holomorphic Embedding Method
Enhancing robustness and efficiency of density matrix embedding theory via semidefinite programming and local correlation potential fitting
Embedding methods for semidefinite programming
Scalable semidefinite programming approach to variational embedding for quantum many-body problems
Inner Product Laplacian Embedding Based on Semidefinite Programming
đź“š Books worth reading
Aspects of semidefinite programmingEtienne de Klerk · 2002
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
đź”— Related topics
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- Isomap Isomap is a nonlinear dimensionality reduction method. It is one of several widely used low-dimensional embedding methods. Isomap is used for computing…
- Dimensionality reduction Dimensionality reduction, or dimension reduction, is the transformation of data from a high-dimensional space into a low-dimensional space so that the…
- Nonlinear dimensionality reduction Nonlinear dimensionality reduction (NLDR), also known as manifold learning, is any of various related techniques that aim to project high-dimensional data…
- Schur product theorem In mathematics, particularly in linear algebra, the Schur product theorem states that the Hadamard product of two positive definite matrices is also a…
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- Implicit function theorem In multivariable calculus, the implicit function theorem is a theorem that provides sufficient conditions under which a planar curve specified by F(x,y)=0…