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Tensor sketch
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<p>In <a href="/facts/Statistics/DNPsKGYU">statistics</a>, <a href="/facts/Machine_learning/e0w0XJTu">machine learning</a> and <a href="/facts/Algorithms/fnl5NmRt">algorithms</a>, a tensor sketch is a type of <a href="/facts/Dimensionality_reduction/XoRpcrB0">dimensionality reduction</a> that is particularly efficient when applied to <a href="/facts/Vector_(mathematics_and_physics)/U8mM7A5F">vectors</a> that have <a href="/facts/Tensor/pNjFo5tV">tensor</a> structure. Such a sketch can be used to speed up explicit <a href="/facts/Kernel_methods/fYuURIPk">kernel methods</a>, bilinear <a href="/facts/Pool_(computer_science)/Rn0xnRnC">pooling</a> in <a href="/facts/Neural_network/DDhJTfMc">neural networks</a> and is a cornerstone in many <a href="/facts/Numerical_linear_algebra/jnS6Tteb">numerical linear algebra</a> algorithms. </p>