Titlebook: Similarity Search and Applications; 13th International C Shin‘ichi Satoh,Lucia Vadicamo,Rasmus Pagh Conference proceedings 2020 Springer Na

reptile

On the Problem of , in Locality-Sensitive Hashingter all, even for . nearest neighbours!.In this paper, we improve the general Indyk-Motwani algorithm to reduce the query time of LSH to . (and the space usage correspondingly.) Since ., our algorithm always obtains sublinear query time, for all collision probabilities at least 1/.. For . and . smal

Complement

Confirmation Sampling for Exact Nearest Neighbor Searchighbor with a small, unknown probability, into a data structure that returns the nearest neighbor with probability ., using as few queries as possible. Second, we present a new query algorithm for the . data structure with . trees that is able to return the exact nearest neighbor of a query point wi

fringe

得意人

拉开这车床

GTT: Guiding the Tensor Train Decompositiona . method for guiding the tensor train in selecting the decomposition sequence. GTT leverages the data characteristics (including number of modes, length of the individual modes, density, distribution of mutual information, and distribution of entropy) as well as the target decomposition rank to pi

结构

Flirtatious

Asoke Bhattacharya, Cynthia L. Pemberton, Eileen Casey White, Daniel Schugurensky, Dip Kapoor, Peter Rule, John Myers, Joseph Giordmaina, Antonia De Vita, Alexis Kokkos, Marvin Formosa, Carmel Borg, Julia Preece, Patricia Cranton, Lyn Tett, Ali A. Abdi, Anna Maria Piussi, Behrang Foroughi, Taadi Ru

清晰

Martin Aumüller,Anders Bourgeat,Jana Schmurr Asoke Bhattacharya, Cynthia L. Pemberton, Eileen Casey White, Daniel Schugurensky, Dip Kapoor, Peter Rule, John Myers, Joseph Giordmaina, Antonia De Vita, Alexis Kokkos, Marvin Formosa, Carmel Borg, Julia Preece, Patricia Cranton, Lyn Tett, Ali A. Abdi, Anna Maria Piussi, Behrang Foroughi, Taadi Ru

Saline

LATHE