Maximum inner product search (MIPS) over dense and sparse vectors have progressed
independently in a bifurcated literature for decades; the latter is better known as top-retrieval …

Maximum Inner Product Search or top-k retrieval on sparse vectors is well understood in
information retrieval, with a number of mature algorithms that solve it exactly. However, all …

Computing the angular similarity between pairs of vectors is a core part of various machine
learning algorithms. The seminal work of Charikar (aka Sign-Random-Projection (SRP) or …

Breast cancer is a serious disease that requires data analysis for diagnosis and treatment.
Clustering is a data mining technique that is often used in breast cancer research to assess …

With the advent of big data, graphs have gained popularity as one of the most efficient data
storage mechanisms. A graph can not only capture relationships between entities, but it can …